Jason Shumake

Jason Shumake is a Research Assistant Professor of Psychology in the College of Liberal Arts at The University of Texas at Austin, specializing in biostatistics and computational modeling for mental health applications.

His educational background includes:

• Ph.D. in Psychology, The University of Texas at Austin (2004), with concentration in behavioral neuroscience and supporting portfolio in statistics/computational modeling
• Postdoctoral Fellowship, Leibniz Institute for Neurobiology, Magdeburg, Germany (2007)

Dr. Shumake's research focuses on developing predictive models from longitudinal datasets to advance personalized medicine in psychiatry. He applies machine learning and statistical algorithms to identify genetic, neural, and behavioral biomarkers that predict treatment responses in mood disorders. His work bridges data science with clinical psychology to transform prediction research into individualized treatment protocols.

His key research interests include:

• Statistics
• Machine Learning
• Data Mining
• Individual Differences
• Precision Medicine
• Personalized Medicine
• Longitudinal Data Analysis
• Biometric Data Analysis
• Psychometric Data Analysis

No information is available regarding scientific awards or student advising activities.

Dr. Shumake maintains active research collaborations through the Mood Disorders Laboratory and the Institute for Mental Health Research at UT Austin, where he analyzes biometric and psychometric data to predict naturalistic and treatment-induced mood changes in depression.