Daniel Park is a senior computational genomics leader who directs analytic and methods teams at the Broad Institute to study the evolution and spread of human pathogens using large-scale genomic data. With over a decade of experience spanning software engineering, doctoral research in evolutionary biology, and field-focused pipeline deployment in Africa, he translates cutting-edge genomics into practical public health and clinical applications. He has led Ebola virus genomic analyses, implemented portable computational pipelines for outbreak settings, and supervised numerous graduate projects, blending hands-on engineering with scientific mentorship. Trained at MIT and Harvard, he combines deep expertise in algorithmic software development with population-genetics insight to tackle real-world infectious disease problems.
12 years of coding experience
4 years of employment as a software developer
Master of Engineering (M.Eng.), Electrical Engineering and Computer Science, Master of Engineering (M.Eng.), Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Doctor of Philosophy (Ph.D.), Organismic and Evolutionary Biology, Doctor of Philosophy (Ph.D.), Organismic and Evolutionary Biology at Harvard University
High School, Computer Systems, High School, Computer Systems at Thomas Jefferson High School for Science and Technology
Contributions:4 reviews, 2 PRs, 36 pushes in 1 year 8 months
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