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Ty Henkaline

Hands-On AI & Data Science Leader

Target Roles

Chief AI / Data Science / Analytics Officer

Large corporations, government agencies, non-profits, international organizations

VP / Director of AI / Data Science / Analytics

Tech companies, consulting firms, financial institutions

Head of AI / Data Science / Analytics Innovation

Tech companies, research institutions, industry innovators

Chief Technology Officer

Startups

Senior AI / Data Science / Analytics Developer / Engineer

Anywhere, including freelance until having found next full-time role

About

I am a passionate AI and data science leader and engineer driven by creating value and positive impact using innovative technologies. With a career spanning over 15 years, I have had the privilege of working on a diverse range of projects across various industries, from consulting and startups to large enterprises and academic institutions.

My expertise lies in implementing AI, ML, and data science to solve complex problems and drive meaningful change. I thrive on collaborating with teams, sharing knowledge, and continuously learning and growing in this rapidly evolving field.

Throughout my career, I have been fortunate to contribute to numerous successful initiatives, including:

Developing award-winning data science solutions and prototypes for clients, generating millions in value
Building data science capabilities from the ground up for organizations, enabling data-driven decision-making
Leading cross-functional teams in implementing ML models and optimizing marketing ROI
Collaborating with academic institutions on cutting-edge research projects and teaching advanced courses

I am passionate about staying at the forefront of AI and data science advancements and sharing my knowledge through speaking. I have had the honor of delivering talks and training sessions to audiences worldwide, covering topics such as responsible AI development, emerging technologies, and practical applications of data science.

With a strong background in psychology, behavioral science, statistics, and computer science, I bring a unique blend of technical expertise and a deep understanding of human behavior to my work. This combination allows me to approach problems from a holistic perspective, leveraging data and technology while keeping the human element at the forefront.

I am constantly seeking new challenges and opportunities to implement AI and data science. If you share a similar passion and are interested in collaborating or learning more, please reach out to me by sending me a message via LinkedIn here. I look forward to exploring ways to create value and impact together.

Work Experience

Principal

Henkaline and Associates

Freelance

2012 - Present

Columbus, Ohio · Hybrid

Key results:

~$10Ms of value creation for clients

Current engagement:

Consulting Technical Lead for Smart Columbus's Community Information Exchange project ($Ms in funding received to-date)

Past engagements:

Consulting Data Science Team Lead for the Mid-Ohio Food Collective (co-led incubation of Community Information Exchange initiative that ultimately received $Ms 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)

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)

Advisor

Denison Edge

Board Membership

2020 - Present

Granville, Ohio · Hybrid

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

Development Skills

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

Python

Skilled / Proficient

Data Manipulation: Proficient with pandas for data cleaning, transformation, and large dataset management, and numpy for numerical data
Statistical Analysis & Modeling: Proficient 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: Proficient with matplotlib and seaborn for static plots, and plotly for interactive visualizations
High-Performance Computing: Familiar 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 / Proficient

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): Familiar with AWS services including EC2, S3, RDS, Lambda, DynamoDB, and SageMaker for building and deploying scalable applications, data storage, serverless computing tasks, and ML model development
Microsoft Azure: Basic familiarity 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

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)

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.