Daniel Day possesses a strong academic and professional background in computational biology and data science. Daniel's educational journey includes a BA in Computer Science and Biology from Augustana University and a Ph.D. in Medical Engineering and Medical Physics with a focus on Bioinformatics and Integrative Genomics from the Massachusetts Institute of Technology. Professional experience spans from undergraduate roles at the University of South Dakota and Harvard University to advanced research positions at Harvard Medical School and the Whitehead Institute, where Daniel contributed to studies in epigenetics and blood vessel development. Daniel's industry experience includes significant roles at Meta, progressing from Staff Data Scientist and Senior Staff Data Scientist to Principal Data Scientist, specializing in feed ranking algorithms and personalized recommendations.
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