Kristen Beck is a Senior Research Scientist in San Jose with 13 years of experience at the intersection of AI, computational biology, and large-scale genomics. At IBM she leads the Functional Genomics Platform, a biological data warehouse of over 300 million data points used to accelerate microbial genotype-to-phenotype discovery and cross-institution collaboration. She has built a global research community spanning academic, government, and industry partners and helped produce joint publications with major universities and the CDC. Kristen developed a scalable semi-supervised method to annotate SARS-CoV-2 molecular targets with >98.5% accuracy and applied machine learning to predict Klebsiella virulence from platform data. Beyond technical delivery, she has shaped long-range life sciences strategy as an advisory council member overseeing 40+ scientists and translating research into validated products used by partners like Mars and Cornell. Her background combines wet-lab doctoral work in RNA-Seq–guided proteomics with deep expertise in bioinformatics and production-grade analytics.
13 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biochemistry and Molecular Biology, Doctor of Philosophy (Ph.D.) Biochemistry and Molecular Biology at University of California, Davis
Bachelor of Science (B.S.) Biochemistry and Molecular Biology, Bachelor of Science (B.S.) Biochemistry and Molecular Biology at University of Nevada, Reno
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