George Kachergis is a senior research scientist blending 12+ years of cognitive science and AI experience to build computational models of memory, learning, and categorization that inform both theory and practical algorithms. Currently splitting time between Stanford and Skillprint, he combines Bayesian and frequentist methods, semantic-space models, and extensive programming (R, Python, Java, C++, Matlab) to turn behavioral experiments and text-mined data into reproducible research. His background spans academia and applied settings—from teaching robots via knowledge representation to designing iPad apps for active learning—giving him a rare fluency in translating lab insights into product-relevant solutions. A published cognitive scientist who still plays Ultimate frisbee, he brings rigorous experimental design and a bias toward generalizable, interpretable models that aim to make AI learn more like people.
12 years of coding experience
11 years of employment as a software developer
High School, with Honors, High School, with Honors at North Carolina School of Science and Mathematics
Ph.D., Cognitive Science, Cognitive Psychology, Ph.D., Cognitive Science, Cognitive Psychology at Indiana University Bloomington
Bachelor of Arts (B.A.), Computer Science and Cognitive Studies, Magna Cum Laude, Bachelor of Arts (B.A.), Computer Science and Cognitive Studies, Magna Cum Laude at Carleton College
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
George Kachergis - Senior Research Scientist at Skillprint