Maryna Taranova, Ph.D., is an AI/ML Tech Lead specializing in life sciences and signal processing, with over 15 years of expertise in AI, machine learning, and computational biology. Currently, they serve as a Principal Data Scientist and Technical Lead at Roche, where they lead a team to develop machine learning solutions for nanopore-based sequencing. Previously, Maryna was a Postdoctoral Fellow in Computational Genomics at Stanford University, where they built predictive models and developed pipelines for analyzing chromosome conformation. Maryna also held roles as a Graduate Research Assistant and Teaching Assistant during their academic career, contributing significantly to the fields of biophysics and computational chemistry. They earned a Ph.D. in Theoretical and Computational Biophysics from the University of California, Irvine.
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