James is a first-year Ph.D. student in Biostatistics and Domain Consultant with Berkeley Research Computing. Before starting the Ph.D., he received his M.A. in Statistics at UC Berkeley where he developed an interest in high dimensional data analysis and causal inference, and later worked as a contributing developer to the nCompiler R package under the guidance of Professor Perry de Valpine. More recently, he has been working with researchers at UCSF to analyze the medical costs of homelessness and developing a PySpark package to analyze very wide datasets with applications including genomics and neuroscience. James hopes to develop tools to make complex, computationally intensive data analyses more intuitive and routine for researchers with causal questions in mind.