Summary
Anton Leontyev is an Assistant Professor of Psychology and IRB Director with a PhD in Cognition and Cognitive Neuroscience and nine years of experience applying programming, statistical computing, and machine learning to cognitive and clinical data. He designs and runs EEG and behavioral experiments, builds predictive models (LASSO, Ridge, Random Forest, Random Survival Forest) for mental-health markers, and has achieved near-clinical accuracy identifying depression signals. Equally comfortable teaching SPSS, R, Python and SQL as he is visualizing results in Tableau and PowerBI, he translates complex statistics into accessible insights for students and humanities faculty. He has led IRB policy modernization to ensure HIPAA compliance and mentors students through research to peer-reviewed presentation. A pragmatic researcher, he combines rigorous psychometrics (EFA/CFA/SEM, hierarchical Bayesian modeling) with practical ETL and A/B testing to move cognitive science from data to decision.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Cognition & Cognitive Neuroscience, Doctor of Philosophy (PhD), Cognition & Cognitive Neuroscience at Texas A&M University
Bachelor of Science (B.S.), Psychology, n/a, Bachelor of Science (B.S.), Psychology, n/a at State University — Higher School of Economics
Master of Science (MSc), Experimental psychology, n/a, Master of Science (MSc), Experimental psychology, n/a at University of Louisiana at Lafayette
Русский, English, German