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Consultant and PhD student

Chris is a PhD student in Bio Statistics specializing in RCTs, machine learning, and causal inference for precision medicine & elections. As a D-Lab consultant he advises researchers on statistical analysis & computing in R.

Consulting

By Appointment (must login to see contact form)

Machine learning (random forest, gradient boosted machines, lasso, etc.) in R using caret/h2o.ai/SuperLearner, text analytics / NLP, causal inference (propensity scores, matching, IPTW, targeted learning), randomized experiments in Stata, parallelization & high performance computing, and general statistics & survey-related data analysis. Scientific computing using SQL databases, Git, Amazon EC2, Markdown, Latex/Knitr, Unix command line, Savio / SLURM, and Berkeley Common Environment.

When submitting a consultation request please give a brief description of the research project & dataset, the specific problem you are having, and your rough availability to meet. Unfortunately I do not have capacity to assist with coursework - apologies.

Working Groups

Alternating Wednesdays, 3-5PM, first meeting on January 31
Not currently active