Ken Kleinman is a seasoned biostatistician and professor with over two decades of academic and research experience, currently leading teaching and research in the Department of Biostatistics and Epidemiology at UMass Amherst. He blends methodological rigor with practical collaboration across observational epidemiology, cluster-randomized trials, and large-scale health record surveillance, having held long-term faculty roles at Harvard Medical School. Ken’s career traces back to hands-on analytic and systems work in clinical settings, giving him uncommon fluency between statistical theory, applied study design, and data systems. He maintains an active research portfolio while administering programs and mentoring the next generation of biostatisticians, and is known for translating complex study designs into robust, reproducible analyses.
11 years of coding experience
20 years of employment as a software developer
High School, High School at Stuyvesant
Bank Street School
BA, Sociology/Anthropology, BA, Sociology/Anthropology at Oberlin College
ScD, Biostatistics, ScD, Biostatistics at Harvard T.H. Chan School of Public Health
the clusterPower package for R: simulating power and sample size calculations for cluster-randomized trials
Contributions:79 commits, 1 PR, 67 pushes in 3 years 5 months
randomizedsample-sizecalculationstrialspower
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