Jacob Bauer is a Senior Data Scientist at Striveworks, where responsibilities include applying advanced machine learning techniques, such as computer vision and natural language processing algorithms, to address diverse business challenges across various sectors, including government, while also contributing to data infrastructure development. Previously, Jacob served as a Graduate Student Research Assistant at Queen's University, focusing on theoretical physics and the dynamics of collisionless fluids, with work predicting dark matter signatures in Milky Way disk stars. Additionally, experience includes a Computer Vision Research Intern position at Ford Motor Company and a Computational Astrophysicist role with MilkyWay@Home, where contributions involved managing a distributed computing project to explore dark matter properties. Jacob holds a Ph.D. in Physics from Queen's University, an M.Phil. in Scientific Computing from the University of Cambridge, and a B.S. in Physics from Rensselaer Polytechnic Institute.
Sign up to view 0 direct reports
Get started