Prof. Okan Bulut
Advisor & Mentor
University of Alberta — Measurement, Evaluation, and Data Science
Prof. Bulut's research combines AI, educational data mining, and
learning analytics. He develops AI-driven systems that leverage
natural language processing to dynamically adapt to individual
learning preferences. His published work appears in Educational
and Psychological Measurement, Review of Educational Research,
and Computers & Education: Artificial Intelligence. He teaches
computational psychometrics, machine learning, and statistical
modeling, and develops workshops and online courses on data mining,
big data modeling, visualization, and statistical analysis.
Artificial intelligence
Educational data mining
Learning analytics
NLP
Computational psychometrics
Machine learning
Data visualization
Assoc. Prof. Ferhat Ay
Advisor & Mentor
La Jolla Institute for Immunology — Associate Professor of Computational Biology
Assoc. Prof. Ay works at the forefront of computational and
statistical modeling in genetics. He focuses on understanding
genetic and epigenetic foundations of gene regulation in systemic,
infectious, and immune-related diseases. He employs systematic and
unbiased approaches to hypothesize and test theories within human
genetics, and has pioneered computational methods integrating
statistics, graph theory, data mining, and machine learning for
large-scale genomic datasets. Affiliations include the Center for
Autoimmunity and Inflammation, Center for Cancer Immunotherapy, and
Center for Sex-based Differences in the Immune System.
Computational biology
Statistical modeling
Genetics
Epigenetics
Gene regulation
Systems biology
Data mining
Machine learning
Immunology
Dr. Alper Yaman
Advisor & Mentor
Fraunhofer Institute for Manufacturing Engineering and Automation IPA · University of Stuttgart
Dr. Yaman, Senior Research Expert in the Department of Cyber
Cognitive Intelligence, focuses on innovative applications of
computer vision and artificial intelligence across multiple
domains. His work spans data-efficient AI, physics-informed AI,
generative AI, and reinforcement learning applied to automation,
robotics, and medical technologies. From 2015 to 2018 he was
Assistant Professor at Yeditepe University, teaching medical
robotics, biomechanics, biomedical sensors, MRI, and dynamic
systems modeling. He brings five years of private-sector R&D and
software development experience.
Computer vision
Artificial intelligence
Data-efficient AI
Physics-informed AI
Generative AI
Reinforcement learning
Robotics
Medical technology
Automation
Industry Advisors
A broader industry advisory network
Beyond our named academic advisors, the institute is supported by an
industry advisory network drawn from technology, workforce services,
vocational rehabilitation, and non-profit leadership. These advisors
contribute product feedback, sector expertise, and go-to-market guidance
across our education, career, and disability-inclusion work. Together
they extend the team's capability well beyond its resident headcount and
keep our tools grounded in real practitioner and employer needs.
