Joseph Borja

Joseph Borja is a Researcher in the Department of Statistics at the University of California, Berkeley, within the College of Letters and Science, maintaining office space in Evans Hall (room 313).

His academic background includes a B.A. from the University of Virginia (2013), an M.S. from the University of Michigan - Ann Arbor (2015), and a Ph.D. in Statistics from UC Berkeley (2019), completed under the supervision of Martin Wainwright and Michael Jordan.

His research spans critical areas in modern statistics including Machine Learning methodologies, Probability theory applications, Causal Inference techniques, and High Dimensional Data Analysis approaches, aligning with the department's research strengths in AI/ML, graphical models, and non-parametric methods.

Dr. Borja remains actively affiliated with the department as evidenced by his continuing berkeley.edu email address and office location, participating in the academic ecosystem that includes the Neyman Seminar, Probability Seminar, and Statistics and Genomics Seminar series.