Kasia Kedzierska is an AI research scientist in Seattle with eight years of experience at the intersection of deep learning and computational biology, currently applying foundation-model approaches at the Allen Institute. She holds a DPhil in Genomic Medicine and Statistics from Oxford and has combined academic rigor with industry exposure through internships at Microsoft and Novo Nordisk and a research role at DeepLife. Kasia’s work spans developing simulation-based methods for genomics, large-scale cancer genomics analyses, and building ML models that make biological mechanisms more interpretable for healthcare impact. She brings cross-disciplinary fluency—bioengineering roots, hands-on sequencing and epigenetics experience, and deep learning expertise—which helps translate noisy biological data into actionable models. An understated strength is her track record of moving between academia and industry to prototype methods that are both scientifically robust and practically useful.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Genome Sciences/Genomics, Doctor of Philosophy - PhD, Genome Sciences/Genomics at University of Oxford
Master of Science in Engineering (MSc), Biotechnology, Master of Science in Engineering (MSc), Biotechnology at Warsaw University of Technology
Contributions:29 pushes, 1 branch in 4 years 6 months
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Kasia Kedzierska - AI Research Scientist at Allen Institute