Hanga Galfalvy

Hanga Galfalvy is an Associate Professor of Biostatistics (in Psychiatry) at Columbia University Medical Center. Her research focuses on the application of advanced statistical and machine learning methods to psychiatric epidemiology, with a particular emphasis on suicide risk prediction, depression, and psychopathology. Her recent work includes identifying developmentally informed subgroups of late-life suicide attempters, analyzing suicide-related language in smartphone keyboard entries among high-risk adolescents, and examining the neural correlates of major depression through hippocampal niche profiling. She also investigates treatment adherence in cognitive behavioral therapy for obsessive-compulsive disorder and antidepressant retention in Latinx outpatients with major depressive disorder. Her interdisciplinary collaborations bridge biostatistics, neuroscience, and clinical psychiatry to improve mental health outcomes.