Summary
Jessie Lee is a data science leader with 10 years of experience applying statistical experimentation, machine learning, and pragmatic engineering to healthcare problems from research labs to product teams. Currently Manager of Data Science at Lyra Health, she has progressed through hands-on roles there—building models, leading cross-functional projects, and operationalizing insights that inform clinical and business decisions. Her background combines a PhD-level research track in bioengineering with practical software skills (Python, data pipelines, Neo4j) developed during internships and fellowships, including neural machine translation work that materially improved codon optimization models. She has a track record of automating tedious clinical workflows and research analytics to reduce burnout and speed data processing by multiples, and she regularly mentors and coordinates multidisciplinary teams. Based in the San Francisco Bay Area, Jessie blends deep domain knowledge in biomedical imaging and genomics with product-oriented data science to drive measurable impact.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Bioengineering and Biomedical Engineering, Bachelor of Science - BS Bioengineering and Biomedical Engineering at University of California, Berkeley
Doctor of Philosophy - PhD Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD Bioengineering and Biomedical Engineering at University of California, Berkeley & University of California, San Francisco