Summary
Max Tolkoff is an Associate Director and Ph.D. graduate in Biostatistics from UCLA with 11 years of experience applying machine learning, Bayesian methods, and principled missing-data techniques to real-world problems. Based in Cambridge/Boston, he has progressed through statistical leadership roles at Takeda—from Senior Statistician to Associate Director—bringing both hands-on programming (C++, R, Java, Python) and scientific rigor to industry analytics. His doctoral work combined interdisciplinary, international collaboration and advanced ML to study trait evolution across organisms, reflecting comfort at the intersection of computational methods and biological inquiry. Adept at designing experiments to evaluate statistical methodology, he translates complex theory into robust, reproducible practice in regulated environments. Colleagues value his ability to bridge academic depth with product-focused delivery, and his background in physics and math from Tufts gives him strong quantitative instincts. Notably, he pairs deep Bayesian expertise with practical software skills, enabling rapid prototyping and production-ready statistical tools.
11 years of coding experience
8 years of employment as a software developer
PhD Biostatistics, PhD Biostatistics at UCLA Fielding School of Public Health
Bachelor of Science (BSc) Physics Math, Bachelor of Science (BSc) Physics Math at Tufts University
University of California, Los Angeles