Michael Wiest

Michael Wiest is a Principal ML Engineer at Genentech since February 2025, with extensive experience in data science and machine learning. Prior to this role, Michael served as a Staff Data Scientist at Spring Science, where contributions included the development of an AI-enabled drug discovery platform and novel phenotypic screening tools. Additional experience includes a Data Scientist position at Trace Genomics, focusing on soil property characterization through deep learning, and an AI Research Intern at Leidos, where deep learning tools were created for hydrodynamic simulations. Earlier career milestones include positions as a Data Engineer/Data Scientist at HotelTonight and a Data Analysis and Flavor Prototyping role at Impossible Foods. Michael's academic background includes a Master's degree in Biological Engineering from UC San Diego and a Bachelor's degree in Chemical and Biological Engineering from Princeton University.