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Ty Henkaline

AI, ML, Data Science, & Analytics Leader

Driving Strategy, Innovation, & Execution

$100M+ Impact, 15+ Years Experience, & PhD-Level Training

Multi-Industry, Multi-Stage, & Multi-Role Experience



About


Executive Summary

Seasoned AI, ML, data science, & analytics leader with rare expertise: PhD-level training in applied mathematics and behavioral science, and internationally recognized open-source software leadership and development skills. Has generated $100M+ in quantifiable business value across multiple industries and company stages over 15+ years. Transforms organizations by creating environments where business, design, and technical teams collaborate to create defensible competitive advantage. Bridges strategy with innovation and execution during strategic growth phases, while championing ethical frameworks that balance innovation with responsibility.

Core Competencies

Contact

Send Ty a message via LinkedIn.



Work Experience


Senior Manager, Data Science

CAS

Full-time

2025 - Present

Columbus, Ohio · On-site


Principal

Henkaline and Associates

Freelance

2012 - 2013 · 2021 - 2025

Columbus, Ohio · Hybrid


Key results:

  • ~$100Ms of value creation for clients

Past engagements:

  • Consulting AI Investments Lead for Rev1 Ventures (built framework for selecting AI companies)
  • Consulting AI Program Manager and Strategist for JobsOhio (co-built 2025 AI strategy, assisted with AI tool adoption)
  • Consulting Technical Lead for Smart Columbus's Community Information Exchange Initiative ($10Ms in funding received to-date)
  • Consulting Data Science Team Lead for the Mid-Ohio Food Collective (co-led incubation of Community Information Exchange initiative that ultimately received $10Ms in funding (see above); co-led successful grant application for $1M+ to build data science team)
  • Consulting Data Scientist for Bartlit Beck LLP (contributed core analyses for $5B Csupo et al. v. Google case that recently achieved class certification)
  • Consulting ML Engineer for MGID (built contextual multi-armed bandit click-through rate optimization algorithm that increases CTR by 2x+ for ~Bs of ads per day for clients including Microsoft, Bank of America, AirBNB, etc.)
  • Consulting Data Science Team Lead for Ohio State University's Office of Advancement (advised Chief Data Scientist on team build and training)
  • Consulting ML Engineer for ClearSaleing (please refer to details below; a full-time-equivalent engagement)

Advisor

Denison Edge

Board Membership

2018 - 2025

Granville, Ohio · Hybrid


Key results:

  • Successfully launched this more industry-aligned extension of Denison University

Key achievements:

  • Advised from conception through full implementation

Singularity University

2018 - 2024 · 6 yrs

San Francisco Bay Area · Hybrid


CTO and AI Expert

Full-time

2023 - 2024 · 1 yr


Key results:

  • Company continued to raise money during an especially challenging period (major strategic pivot, significant staff reduction, challenging funding environment)

Key achievements:

As CTO:

  • Carried out a comprehensive technology overhaul (~30% YoY reduction in technology expenses)
  • Re-architected one of two key web properties (from poor performance to excellent performance)

As AI Expert:

  • Developed and (co-)delivered several talks and workshops on AI for key programs (~70 NPS)

Managing Director, Data, Analytics, and AI

Full-time

2018 - 2023 · 5 yrs


Key results:

  • Company continued to raise money during an especially challenging period (COVID, multiple strategic pivots, multiple significant staff reductions, challenging funding environment)

Key achievements:

  • Built company's first data science capability (2-3 team members; a key strategic capability)
  • Provided interim leadership for technology team (8-10 team members for ~6 months)
  • Co-built (led) a prototype of a neuroadaptive VR training system that was patented and then acquired (for ~$Ms by Talespin)
  • Co-built (co-led) and co-delivered a machine-learning-driven workshop on the responsible development of AI (has been delivered to ~1K customers internationally to-date)
  • Co-built (led) the data, analytics, and ML components of DASH -- a SaaS product that enables innovation managers to improve effectiveness using insights from Singularity (a ~$4M+ product from inception to go-to-market)
  • Built a Singularity "newsfeed" application that surfaces notable Expert and alumni activity (surfaces news daily across ~10Ks Experts and alumni)
  • Built applications that deliver customer satisfaction analytics to customers, Experts, and staff (~Ks of reports delivered to-date)

VP, Chief Analytics Innovator

Covail (formerly the Columbus Collaboratory)

Full-time

2015 - 2018 · 3 yrs

Columbus, Ohio · On-site


Key results:

  • Company raised $54M and successfully exited via GoSecure

Key achievements:

  • Built company's first data science capability and business (8-10 team members; 1 of 2 equally key business units)
  • Built a rapid data science prototyping capability (3-5 per month)
  • Delivered 60+ prototypes while there, team delivered 100+ including after departure -- many (~10s) of which clients immediately scaled (~$10Ms in client value)
  • Created (led conception, design, and delivery) an open-source data science software package that earned international acclaim (enabled 2M data scientists to easily access IBM Watson from R)

SVP, Director of Data Science

Huntington National Bank

Full-time

2014 - 2015 · 1 yr

Columbus, Ohio · On-site


Key results:

  • Increased marketing ROI by ~$10Ms annually

Key achievements:

  • Built Marketing department's first ML development capability (2-3 team members)
  • Built a rapid marketing targeting model development capability (3-5 per month)
  • Co-built (1 of 4 key leaders) the broader Enterprise Data and Analytics team (hired 30+ new team members in less than 1 year)
  • Built first several marketing targeting models (7 models generating $10M+ annually in incremental marketing ROI)
  • Wrote and secured approval for model governance policy (enabled use of all of team's models)

Director, Analytics

Manta

Full-time

2013 - 2014 · 1 yr

Columbus, Ohio · On-site


Key results:

  • Company raised $53M+ and successfully exited via IBM

Key achievements:

  • Built company's first data science capability (3-5 team members)
  • Built decision support systems for Product and Engineering teams (led to product re-design, reduced page load speed by 80%)
  • Built website data collection, warehousing, analytics, and reporting (~1M+ monthly unique visitors)

Consulting ML Engineer

eBay (via acquisition) · GSI Commerce (via acquisition) · ClearSaleing

Contract (full-time equivalent)

2012 - 2013 · 1 yr

Columbus, Ohio · Hybrid


Key results:

  • Company raised $6M+ and successfully exited via GSI Commerce and then eBay

Key achievements:

  • Co-built (1 of 2 key ML engineers) ML components of online sales attribution product (the company's only product)

The Ohio State University

Part-time · 5 yrs

2006 - 2013 · 7 yrs

Columbus, Ohio · On-site


Visiting Scholar

Nationwide Center for Advanced Customer Insights · Fisher College of Business

2008 - 2013 · 5 yrs


Key results:

  • Increased annual revenue by ~$10Ms and decreased annual expenses by ~$10Ms

Key achievements:

  • Co-built (one of 10+ project team members) enterprise-level marketing mix model (increased marketing ROI by ~2x+ on an annual marketing budget of ~$100Ms)
  • Co-built (led) solution for key customer data quality issue (decreased downstream annual expenses by ~$10Ms and dramatically improved customer experience)

Graduate Assistant

Department of Psychology

2006 - 2009 · 3 yrs


Key results:

  • Delivered data analyses for a ~$10Ms randomized controlled trial
  • Successfully recruited a cohort of new PhD students

Key achievements:

  • Carried out data staging and analyses for a large-scale, multi-site, randomized controlled trial (~100s of patients across 3 sites)
  • Managed the Psychology PhD program application and interview process (300+ applications for ~10 spots)

Specialist, Behavioral Analytics, Customer Insights and Analytics

Nationwide Insurance

Full-time

2008 - 2010 · 2 yrs

Columbus, Ohio · On-site


Key results:

  • Increased annual revenue by ~$10Ms and decreased annual expenses by ~$Ms

Key achievements:

  • Delivered data, analyses, and advising on marketing campaign ROI, product pricing competitiveness, and agency operation effectiveness to leadership (on annual marketing spend of ~$100Ms, annual revenue of $10Bs, across 3,500+ agencies)

Research and Teaching Assistant, Department of Psychology

Ball State University

Part-time

2002 - 2006 · 4 yrs

Muncie, Indiana · On-site


Key results:

  • Published multiple papers in academic journals
  • Co-delivered several university courses

Key achievements:

  • Published academic research (author, co-author, or acknowledged contributor on several peer-reviewed academic publications)
  • Collected, staged, and / or analyzed data for several studies (independently conducted 1, collaborated on 4+)
  • Taught study sessions and provided delivery support (office hours, grading, etc.) for psychology and honors courses (several courses per year for several years)


Education


The Ohio State University

Full-time

2010 - 2013 · 3 yrs

Columbus, Ohio · On-site


PhD Program, Quantitative Psychology

Non-Degree

  • Satisfied all course requirements needed to complete program
  • Satisfied all research requirements while in program
  • Research foci: Causal inference and quasi-experimental design
  • Departed program early to join a technology startup that successfully exited within a year (ClearSaleing; details above)

Master of Applied Statistics

Degree

  • Completed program despite having had essentially no undergraduate training in mathematics or statistics prior to program entry (spent a year auditing undergraduate math courses in order to satisfy program prerequisites)

The Ohio State University

Part-time

2008 - 2010 · 2 yrs

Columbus, Ohio · On-site


Master of Business Administration Program

Non-Degree

  • Completed several MBA courses in strategy (MBA capstone course), finance, and analytics

The Ohio State University

Full-time

2006 - 2009 · 3 yrs

Columbus, Ohio · On-site

Activities: Graduate Student Council


PhD Program, Clinical Psychology

Non-Degree

  • Satisfied all course requirements needed to complete program
  • Satisfied all research and practicum requirements while in program
  • Research foci: Research, statistical, and measurement methods for the behavioral sciences
  • Departed program early to join what proved to be: i) a prolific startup Enterprise Data and Analytics team (Nationwide; details above), and ii) a prolific and award-winning cross-sector applied research center (Nationwide's Center for Advanced Customer Insights at Ohio State's Fisher College of Business; details above)

Master of Arts, Clinical Psychology

Degree

  • Emeritus Professor Julian Thayer stated that Master's thesis was strong enough to satisfy the requirements for a PhD dissertation

Ball State University

Full-time

2002 - 2006 · 3 yrs

Muncie, Indiana · On-site

Activities: Baseball team (2 years; preferred walk-on), Dean's Advisory Board member, Psi Chi President


Honors Degree

Degree

  • Published an honors thesis -- an independent study on the role of meaningfulness in perception
  • Completed especially rigorous and interdisciplinary coursework in a graduate-program-like learning environment

Bachelor of Arts, Psychology

Degree

  • Completed courses in the behavioral sciences, computer science, and the humanities
  • Collaboratively and independently conducted academic research
  • Research foci: Research and statistical methods for the behavioral sciences


Technical Skills


Conversational AI

Expert

  • AI Assistants: Expert with enterprise-grade language models including ChatGPT (OpenAI), Claude (Anthropic), Grok (xAI), Gemini (Google), and Perplexity for strategic decision support, content development, and specialized research
  • AI-Enhanced Analytics: Expert in leveraging AI assistants to complement data science workflows, enhance code development, and accelerate complex problem-solving
  • Prompt Engineering: Skilled in designing effective prompts that yield high-quality outputs for business intelligence, market analysis, and technical documentation
  • AI Integration: Skilled in incorporating AI tools within existing workflows to improve efficiency, particularly for rapid prototyping and scaling data science initiatives
  • Knowledge Synthesis: Expert in using AI to quickly consolidate information from multiple sources, identify patterns, and extract actionable insights for strategic initiatives

R

Expert

  • Data Manipulation: Expert with dplyr, data.table, tidyr for data cleaning, transformation, and dataset management
  • Statistical Analysis & Modeling: Expert with statistical methods, using stats, lme4, and rstan for various modeling techniques
  • ML: Expert with ML with packages such as caret, tidymodels, randomForest, and xgboost
  • Data Visualization: Expert in ggplot2, plotly, and shiny for both static and interactive visualizations
  • High-Performance Computing: Skilled with parallel and foreach for computational efficiency and large data management
  • Big Data Analysis: Expert in using SparkR for large-scale data processing and analysis within the R environment
  • Software Development: Skilled in Git, GitHub, package development with devtools and roxygen2
  • Reproducible Research: Expert in RStudio, R Markdown, knitr, and bookdown for integrated, reproducible reports and analyses

SAS

Expert

  • Data Manipulation: Expert in SAS DATA step, PROC SQL, and PROC FORMAT for efficient data cleaning, transformation, and processing
  • Statistical Analysis & Modeling: Expert with SAS/STAT, SAS/ETS, and PROC GLM for regression, time series analysis, and modeling
  • ML & Advanced Analytics: Expert with SAS Enterprise Miner and PROC HPFOREST, HPLOGISTIC for machine learning and predictive modeling
  • Data Visualization: Expert in SAS ODS Graphics, PROC SGPLOT, and SAS Visual Analytics for producing high-quality visual reports
  • Big Data Analysis: Expert in SAS Grid Computing and SAS Viya for handling large-scale datasets and parallel processing
  • Automation & Scripting: Expert in developing SAS Macros and stored processes to automate repetitive analysis tasks
  • Reporting: Expert with PROC REPORT, PROC TABULATE, and SAS BI tools for advanced reporting and dashboards
  • Integration: Skilled in integrating SAS with R, Python, and databases for enhanced analytics workflows

Python

Skilled

  • Data Manipulation: Skilled with pandas for data cleaning, transformation, and large dataset management, and numpy for numerical data
  • Statistical Analysis & Modeling: Skilled with statsmodels for statistical testing and modeling, and scipy for scientific computing
  • ML: Skilled in scikit-learn for various ML algorithms, and in xgboost, tensorflow, and PyTorch for deep learning
  • Data Visualization: Skilled with matplotlib and seaborn for static plots, and plotly for interactive visualizations
  • High-Performance Computing: Proficient with multiprocessing and concurrent.futures for parallel computing
  • Big Data Analysis: Skilled in using PySpark for large-scale data processing and analysis within the Python environment
  • Software Development: Skilled in Git and GitHub for version control, and virtualenv and conda for environment management
  • Reproducible Research: Skilled in Jupyter Notebooks for integrating code, output, and narrative in documents

Cloud Technologies

Skilled

  • Google Cloud Platform (GCP): Skilled in utilizing core GCP services such as Compute Engine, Cloud Storage, BigQuery, and Cloud Functions for scalable cloud-native applications, data analysis, and storage solutions. Skilled in ML development with Vertex AI for creating, training, and deploying ML models at scale
  • Amazon Web Services (AWS): Skilled with EC2, S3, RDS, Lambda, DynamoDB, and SageMaker for building and deploying scalable applications, data storage, serverless computing tasks, and ML model development
  • Microsoft Azure: Proficient with Azure, with some exposure to Azure Functions, Azure SQL Database, and Azure ML for cloud computing, database management, and ML services
  • Cloud Architecture: Knowledgeable in designing and implementing secure, scalable, and cost-effective cloud infrastructure solutions across GCP and AWS
  • DevOps Tools: Familiar with leveraging cloud-based CI/CD pipelines for automated testing and deployment using tools like GitHub Actions and Cloud Build
  • Containerization & Orchestration: Basic familiarity with using Docker and Kubernetes for containerization and orchestration to enhance application scalability and reliability across cloud environments
  • Monitoring & Management: Proficient in utilizing cloud monitoring tools such as Cloud Monitoring for real-time logging, monitoring, and operational insights

SQL / NoSQL

Skilled / Proficient

  • Data Retrieval: Skilled in data retrieval, manipulation, and integration with SQL and NoSQL databases
  • Performance Optimization: Proficient at optimizing data storage and query performance
  • Data Architecture: Knowledgeable in the architecture and operation of data lakes and data warehouses

Shell

Proficient

  • Workflow Automation: Proficient in automating data processing, analysis, and deployment workflows using shell scripts, including integration with R and Python for advanced statistical and ML tasks
  • Version Control: Skilled in Git for version control, software testing, and application deployment through shell commands
  • Web Data Management: Proficient in leveraging curl/wget for API interactions and web data management

HTML / CSS / JSON

Familiar

  • HTML/CSS: Familiar with structuring and styling web pages
  • JavaScript: Familiar with creating interactive elements and client-side scripting
  • JSON: Proficient with consuming and developing JSON-based APIs
  • Frameworks: Basic familiarity with Python and PHP web frameworks such as Dash, Flask, Django, and Laravel
  • Development Environment: Proficient in using Visual Studio Code for a wide range of development tasks, including code editing, debugging, and extension management and usage


Invited Talks


For the Local Community

Educating local leaders about exponential technologies and their transformative impacts


Navigating the AI Revolution: Guidance for Today's Leaders

  • 2024, March. Licking County Chamber of Commerce's Thrive Event for Small Business Leaders. Newark, OH, USA.
  • 2024, March. Innovate New Albany Speaker's Series. New Albany, OH, USA.
  • 2024, February. The Career and Technology Education Centers of Licking County’s Staff Development Day. Newark, OH, USA.
  • 2024, February. North Valley Bank’s Leadership Team. Zanesville, OH, USA.
  • 2024, January. Matesich Brewing Company’s Leadership Team. Newark, OH, USA.
  • 2023, October. Licking County Chamber of Commerce's Manufacturing Day Celebration. Newark, OH, USA.

The Future is Faster Than You Think

  • 2020, June. Denison University Summer Accelerator. Online.

Amazon, Google, and Tesla – and How They Will Win Using Data and AI

  • 2020, June. Denison University Summer Accelerator. Online.

For Singularity University

Educating executives about exponential technologies and their transformative impacts


AI Workshop: Building Inclusive Automated Decision-making Systems

With Alix Rübsaam and Ethan Lynagh

  • Open Enrollment Executive Programs
    • 2023, November. Executive Program. Mountain View, CA, USA.
    • 2023, October. Executive Program. Mountain View, CA, USA.
    • 2023, June. Executive Program. Mountain View, CA, USA.
    • 2023, May. Executive Program. Mountain View, CA, USA.
    • 2023, March. Executive Program. Mountain View, CA, USA.
    • 2022, November. Executive Program. Mountain View, CA, USA.
    • 2022, October. Executive Program. Mountain View, CA, USA.
    • 2022, May. Executive Program. Mountain View, CA, USA.
    • 2022, April. Executive Program. Mountain View, CA, USA.
    • 2021, November. Executive Program. Mountain View, CA, USA.
    • 2020, January. Executive Program. Mountain View, CA, USA.
    • 2020, January. Executive Program with INSEAD. Mountain View, CA, USA.
  • Custom Executive Programs
    • 2024, March. ITTI Digital Custom Program. Asuncion, PY.
    • 2024, February. Cortex Custom Program. St. Louis, MO, USA.
    • 2023, March. NextEra Custom Program. Juno Beach, FL, USA.
    • 2022, October. Honeywell Custom Program. Charlotte, NC, USA.
  • International Partners
    • 2023, October. Portugal Executive Program. Carcavelos, Lisbon, PT.
    • 2021, October. South Africa Summit. Online.
    • 2019, November. Mexico Summit. Mexico City, MX.
  • Corporate Partners
    • 2022, April. PricewaterhouseCoopers’ DEI Leadership Team. Online.
    • 2021, July. Women in Analytics Summit. Online.
    • 2021, January. Women in Analytics Virtual Workshop. Online.
    • 2020, April. INSEAD AI Program Leadership Team. Online.
  • Other
    • 2023, March. Singularity University Global Chapter Leaders. Online.
    • 2022, March. The Ohio State University Translational Data Analytics Institute Spring Forum. Columbus, OH, USA.
    • 2020, March. Singularity University Virtual Test Kitchen. Online.
    • 2019, October. Singularity University Test Kitchen. Santa Clara, CA, USA.

Life, Liberty, and AI: How the Principles of the Free Software Movement Will Shape the Future of AI ... and Everything Else

  • 2023, October. Abundance Digital. Online.

Why You Need an AI Capability

  • Custom Executive Programs
    • 2019, April. Palo Alto Networks. San Jose, CA, USA.
    • 2019, April. Dubai Tourism Commission. Dubai, Emirate of Dubai, UAE.
    • 2019, February. Circulo de Credito. Mexico City, MX.

For Covail

Sharing approaches, success stories, and learnings with local companies and universities


Why and How to Rapidly Prototype Data and Analytics Solutions

  • 2018, March. Nationwide's annual all-CIOs meeting. Columbus, OH, USA.
  • 2018, January. Nationwide's annual all-technologists internal conference (TechCon). Columbus, OH, USA.
  • 2017, March. International Institute for Analytics Annual Symposium. Portland, OR, USA.

Shaping Staff Development from a Futures Perspective

  • 2017, December. Ohio State University College of Engineering’s CIO Solutions Gallery. Columbus, OH, USA.

Tangible Cognitive and Analytics

  • 2017, May. Ohio State University College of Engineering’s CIO Solutions Gallery. Columbus, OH, USA.

Design Thinking for Software Engineers: Why and How You Should Put It into Practice Beginning Today

  • 2017, February. Nationwide's annual all-software-engineers meeting. Columbus, OH, USA.

IBM Watson: What It Is and – More Importantly – What It Isn’t

  • 2016, March. Battelle Memorial Institute. Columbus, OH, USA.

For Huntington Bank

Sharing approaches, success stories, and learnings with a local university


How to Build an Enterprise Data and Analytics Capability

  • 2015, April. Ohio State University's Fisher College of Business's Analytics Speaker Series. Columbus, OH, USA.

For the Academic Community

Sharing perspectives on how to bridge the gap between academia and industry with the academic community


Tips and Tricks for Entering the Applied World, and a Bit About What You Will See on the Other Side

  • 2015, October. Ohio State University's Quantitative Psychology PhD Program's Brown Bag Talk Series. Columbus, OH, USA.

Give Me an Old Computer, a Blank DVD, and an Internet Connection and I'll Give You World-class Analytics

  • 2014, August. American Statistical Association's Joint Statistical Meeting. Boston, MA, USA.


Academic Works


Theses

Master's and honors theses

  • Henkaline, T. C. (2008). An examination of the nature of associations of daily rumination with heart rate and heart rate variability during waking and sleeping. Master’s thesis.
  • Henkaline, T. C. (2006). The role of familiarity in change blindness stimuli: A visual “cocktail party phenomenon.” Undergraduate honors thesis.

Papers

Publications and manuscripts

  • The Community Information Exchange Initiative Team at Smart Columbus (2024). Predicting and Preventing Homelessness in Franklin County, Ohio: A Summary of Early Progress and a Call for Additional Data Sharing Partners. White paper.
  • Henkaline, T. C., & Strunk, D. R. (2008). Deployment of attention in clinical depression: A failure to protectively inhibit attention to negative information. Unpublished manuscript.
  • Henkaline, T. C., & Gaither, G. A. (2007). Child Sexual Abuse and the Churches: Understanding the Issues. Journal of Psychological Trauma, 6, 51-60.
  • Sansone, R., McDonald, S., Prutzman, C., & Henkaline, T. (2006). The comfort level of internists with the prescription of psychotropic medication. International Journal of Psychiatry in Medicine, 36, 85-92.

Presentations

Conference and symposium presentations

  • Henkaline, T. C., Strunk, D. R., Thayer, J. F., & Sollers, J. J. (2008; November). Daily rumination as a potential mediator of the relationship between depressive symptoms and risk for Cardiovascular Disease. Poster presented at the annual meeting of the Association for Behavioral and Cognitive Therapies, Orlando, FL, USA.
  • Henkaline, T. C., Strunk, D. R., & Vasey, M. W. (2007; November). Attentional bias in clinical depression: The absence of a bias away from the negative? Poster presented at the annual meeting of the Association for Behavioral and Cognitive Therapies, Philadelphia, PA.
  • Henkaline, T. C., & Reichle, A. C. (2005; April). The role of familiarity in change blindness stimuli: A visual “cocktail party phenomenon.” Posters presented at The Thirteenth Annual Psychological Science Poster Session & The Tenth Annual Student Symposium at Ball State University, Muncie, IN.
  • Jameson, M. M., Lenhardt, T. T., Dumford, N. M., Henkaline, T. C., & Hammer, L. R. (2005; March). The influence of schema on children’s and adults’ eyewitness memory. Poster presented at The Tenth Annual Student Symposium at Ball State University, Muncie, IN.
  • Jameson, M. M., Lenhardt, T. T., & Henkaline, T. C. (2004; April). The presence of a weapon and its influence on recall for children. Poster presented at The Twelfth Annual Psychological Science Poster Session at Ball State University, Muncie, IN.
  • Henkaline, T. C., & Reichle, A. C. (2004; April). A brief examination of the accuracy of memory for traumatic events. Paper presented at The Sixteenth Annual Undergraduate Research Conference, Butler University, Indianapolis, IN.
  • Henkaline, T. C., & Reichle, A. C. (2004; April). A brief examination of the accuracy of memory for traumatic events. Posters presented at The Ninth Annual Student Symposium & The Twelfth Annual Psychological Science Poster Session at Ball State University, Muncie, IN.


Awards and Honors


Invited co-developer and co-lecturer for university's first PhD-level course on Causal Inference

Issued by The Ohio State University · 2013


Invited to co-develop and co-deliver (with now Emeritus Professor Robert Cudeck) Ohio State's first formal course on the topic of Causal Inference to a group of advanced PhD students from business, psychology, and other related departments. One of the university's highest honor for an active PhD student.

Statistical Partnerships Among Academe, Industry, and Government Award

Issued by The American Statistical Association · 2011


National award granted annually to one university-based research organization that has established an exceptionally mutually beneficial partnership with at least one business or government entity. The American Statistical Association's highest honor for a partnership of this kind.

Awarded to the administration, faculty, staff, and graduate students at the Nationwide Center for Advanced Customer Insights (details above).

Provost’s Prize Award

Issued by Ball State University · 2006

University-wide award granted to one senior annually for exceptional academic achievement as an undergraduate student. The university's highest honor for an undergraduate student.

Rhodes Scholarship Nomination

Issued by Ball State University · 2005


University-wide award granted to one junior annually for “excellence in qualities of mind and in qualities of person." The university's highest honor for a junior undergraduate student.

Charles O. McGaughey Leadership Award

Issued by Ball State University · 2004


University-wide award granted to up to seven students annually who demonstrate leadership, basic American values and service, and an appreciation for the importance of respect for others and for the diversity of our nation. One of the university's highest honors.

George W. Rulon National Baseball Player of the Year Award

Issued by American Legion Baseball · 2002


National award granted annually to one of ~100K American Legion Baseball players for outstanding leadership, scholarship, character, and citizenship. One of youth sports' highest honors.



Speaker Profile

(previously housed at su.org/experts/ty-henkaline; moved here at his request )


Speaker Bio


Since his high school days as a standout student and nationally recognized athlete, Ty has demonstrated an unwavering commitment to excellence. This dedication continued into his college years, where he not only maintained his impeccable academic record but also published his first paper in a peer-reviewed academic journal, was nominated for the Rhodes Scholarship, and graduated at the top of his class.

‍During his PhD studies, Ty ventured more deeply into the intersection of behavioral science, data science, and artificial intelligence (AI). Here, he earned multiple master’s degrees, introduced a groundbreaking PhD-level course on causal inference, and garnered accolades from the American Statistical Association for his role in fostering collaborations across academic, industrial, and governmental sectors.

‍Transitioning to the professional world, Ty's contributions to an AI product at a startup led to its quick acquisition by eBay. Recognizing the potential of AI-driven solutions, he spearheaded teams at various organizations, amassing significant revenue as he led the development of scores of such solutions. One notable achievement under his leadership was the development of an open-source data science package that gained recognition in major publications, including CIO magazine. As a testament to his expertise, Ty has been invited to share his insights on international platforms, ranging from leading organizations to esteemed conferences. Ty has also been invited to serve as an expert witness for landmark cases involving major technology companies.

‍Ty was an employee with Singularity for over 5 years. Originally the Managing Director of Data, Analytics, and AI, he was then promoted to CTO. At Singularity, Ty played an instrumental role in launching the institution's first AI-driven product, prototyping a cutting-edge AI-driven neuroadaptive virtual reality learning platform that was quickly acquired, co-developing one of Singularity's feature workshops -- on the responsible development of AI, and championing the integration of behavioral science, data science, and AI across the company's initiatives.

If you would like to invite Ty to speak for you, please send him a message on LinkedIn.

Speaking Topics


Life, Liberty, and AI: How the Principles of the Free Software Movement Will Shape the Future of AI ... and Everything Else

The future is undeniably heading towards an era dominated by AI. As this happens, AI development will be significantly influenced by the free software movement (FSM). This means that the principles of the FSM – which champions open, transparent, and freely accessible software – will become crucial for everyone. The future's most effective leaders will recognize and understand these principles, and be able to apply them thoughtfully and strategically.

During this session, we will discuss the principles of the FSM and how their convergence with AI will have profound implications for our future. This will enable us to envision a future where technology not only pushes boundaries but does so with equity and openness at its core.

Following this session, participants will be able to:

  • Articulate the fundamental principles of the FSM
  • Understand the interplay of the principles of the FSM with AI development
  • Grasp how the merging of the FSM and AI development will lead to a more ethical AI future
  • Envision a future where technology will increasingly pair innovation with a commitment to fairness and openness
  • Contemplate their roles in fostering and maximizing the benefits of such a future

How to Build AI Responsibly

The rise of automated decision-making systems is revolutionizing various industries, but with this comes the challenge of ensuring these systems are inclusive and free from biases. Algorithmic biases, stemming from cultural prejudices and assumptions, can inadvertently be integrated into these systems, leading to unintended consequences and perpetuating existing disparities.

During this hands-on workshop, we will delve deep into the nuances of algorithmic biases. Participants will get a chance to design and train their own algorithms, mirroring the processes used across industries. More than just a theoretical exercise, these self-designed algorithms will then be deployed back onto the participants, offering a unique opportunity to experience the effects of algorithmic inclusion and exclusion in real-time.

Following this session, participants will be able to:

  • Recognize the origins and manifestations of algorithmic bias in AI
  • Design AI while being cognizant of potential biases and their implications
  • Evaluate AI for its propensity to perpetuate biases
  • Understand the intricacies of how AI is crafted, deployed, and utilized
  • Reflect on their own roles and responsibilities in ensuring the creation of inclusive and fair AI systems

How to Build an Enterprise AI Capability

The digital transformation era is in full swing, and AI stands at its forefront. As organizations grapple with the vast potential of AI, understanding how to effectively harness its power becomes paramount. This session delves deep into a structured approach to integrate AI, ensuring impactful and aligned business outcomes.

By the end of this session, participants will be armed with insights and strategies to navigate the AI landscape, ensuring their initiatives drive innovation and business growth.

Following this session, participants will be able to:

  • Set clear AI objectives that align well with business goals
  • Identify specific business challenges that are synergistic with AI solutions
  • Create compelling AI use cases that map well on to these specific business challenges
  • Assess organizational AI readiness and determine how to resolve specific gaps – particularly gaps in data
  • Understand the necessity of including humans in the loop for effective AI deployment

How to Operate an Enterprise AI Capability

With AI integrated into the organizational fabric, the next challenge is ensuring its sustainable and effective operation. This session explores the nuances of running an enterprise AI capability, emphasizing long-term success, continuous improvement, and adaptability in a dynamic business environment.

By the end of this session, participants will gain a holistic understanding of the intricacies involved in managing and optimizing AI-driven initiatives, ensuring they remain agile and responsive to evolving business needs.

Following this session, participants will be able to:

  • Monitor and evaluate the performance of AI solutions in real-world scenarios
  • Implement feedback loops for continuous AI improvement and refinement
  • Manage the ethical considerations and challenges that arise during AI operation
  • Foster collaboration between AI teams and other business units for cohesive decision-making
  • Ensure data quality and relevance are maintained over time
  • Address challenges and obstacles that emerge during the operational phase of AI

How to Build an AI Product

In today's rapidly evolving technological landscape, AI-driven products are no longer just an innovation – they're a necessity. The potential of AI to transform industries, enhance user experiences, and drive business growth is unparalleled. However, building a successful AI product requires a unique blend of technical expertise, ethical considerations, and market insight.

During this session, we will journey through the end-to-end process of creating an AI product. From ideation and data collection to training models and deployment, each stage offers its own challenges and opportunities. We will also discuss the ethical considerations intrinsic to AI product development, ensuring that our creations not only perform exceptionally but also respect user rights and societal norms.

Following this session, participants will be able to:

  • Understand the lifecycle of an AI product from inception to deployment
  • Recognize the technical challenges and best practices in AI product development
  • Grasp the ethical dimensions and considerations when building AI-driven solutions
  • Identify potential pitfalls and strategies to navigate them effectively
  • Envision the future of AI products and their potential impact on industries and society
  • Reflect on their roles as innovators and ethical stewards in the AI realm