Yu-han Kao
Director, Outcomes Research at Merck
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolYu-han Kao is a director-level outcomes researcher with 11 years of experience blending infectious disease laboratory techniques and advanced epidemiologic and data science methods at institutions including Merck, Sema4, Yale, and the University of Michigan. Trained as an epidemiologist (PhD, MPH) with a hands-on wet-lab foundation from National Taiwan University, he uniquely translates molecular virology skills—RT-PCR, viral titration, cloning, immunofluorescence/immunoprecipitation—into population-level outcomes and real-world evidence. At Merck he has progressed from associate to director roles in global data science and outcomes research, driving analytic programs that connect mechanistic biology to clinical and public-health insights. Colleagues value his ability to navigate both bench protocols and complex data pipelines, and he often surfaces biologically plausible hypotheses that guide downstream study design. Based in the New York metro area, he combines rigorous academic training with industry-scale program leadership to advance translational research.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD) Epidemiology, Doctor of Philosophy (PhD) Epidemiology at University of MichiganB.S. Life Science Anthropology Certification Program of Infectious Disease, B.S. Life Science Anthropology Certification Program of Infectious Disease at National Taiwan University
Github Skills (6)
matlab4
uncertainty4
matrix3
machine-learning2
statistics1
time-series1
Programming languages (1)
Github contributions (5)
epimath/dengue_model
Jan 2016 - Aug 2017
Contributions:12 commits in 1 year 6 months
chekao/hai_world
Feb 2015 - Aug 2017
Contributions:3 pushes in 2 years 6 months
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