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Booil Jo is a Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University, specializing in interdisciplinary brain science research. His academic background includes a Ph.D. in Applied Statistics from UCLA obtained in 1998. His research focuses on latent variable modeling, causal inference, longitudinal data analysis, missing data analysis, and mixture growth modeling, with applications in prevention science methodology. As a dedicated educator, he offers courses across various terms, including PSYC 250, PSYC 299, PSYC 399, PSYC 370, PSYC 290, and PSYC 199, and provides mentorship to students in doctoral dissertation committees. Jo has received notable grants, including an R01 from the National Institute of Mental Health for research into unobserved subpopulations in mental health. His contributions to the field are recognized through his teaching and scholarly output, establishing him as a significant figure in his area of expertise.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.