Katie Saund is a computational biologist and scientist based in the San Francisco Bay Area, currently on a career break and open to discussions. Over nine years, she has combined wet-lab training with computational analytics to advance biomarker discovery in neurodegeneration and infectious disease. In her current role at Denali Therapeutics, she handles multi-omics analyses—from bulk and single-nucleus RNA-seq to metabolomics and genomics—driving differential expression, pathway enrichment, alternative splicing, and multiomic integration using machine learning. Her prior work at the University of Michigan spanned bacterial genomics, metagenomics, tool development, and infectious diseases, and her PhD focused on identifying WGS variants linked to toxicity and patient outcomes in C. difficile infection. She also brings early oncology exposure from Merck and a track record of bridging research with translational goals, including experience with public data access management and collaborating across interdisciplinary teams. With a PhD in Microbiology and Immunology from UM and degrees from Caltech and UCL, she combines rigorous academic training with practical, production-focused data science.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Microbiology and Immunology, Doctor of Philosophy (Ph.D.), Microbiology and Immunology at University of Michigan
Bachelor of Science (B.Sc.), Biology, Bachelor of Science (B.Sc.), Biology at California Institute of Technology
Contributions:3 releases, 231 pushes, 5 branches in 1 year 3 months
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