Jerome Braun is a Ph.D. statistician and independent consultant with over 15 years’ experience translating complex scientific and business problems into rigorous mathematical solutions across academia, industry, and government. He has consulted for more than 800 clients, led statistical design and analysis for clinical trials and genomic studies, and conservatively performed or reviewed thousands of analyses, often serving as lead statistician or expert witness. His technical breadth spans experimental design, Bayesian and frequentist modeling, PK/PD and bioequivalence work, high-dimensional genomics, and messy real-world datasets, implemented in tools from R and SAS to Python and probabilistic programming. Jerome combines deep theoretical knowledge with hands-on programming and project management—writing SAPs, producing TLFs, managing budgets and scopes, and teaching or reviewing statistical methods for journals like PLOS ONE. An intellectually curious problem-solver, he continues to explore Clojure, probabilistic programming, hidden semi-Markov models, and scalable analysis for very large datasets.
14 years of coding experience
8 years of employment as a software developer
Continuing Education, Continuing Education at University at Buffalo Pharmacy and Pharmaceutical Sciences
Continuing Education, Continuing Education at Coursera
Master of Arts (M.A.) Mathematics, Master of Arts (M.A.) Mathematics at San Francisco State University
Continuing Education, Continuing Education at edX / MITx
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at University of California, Davis
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