Summary
Jacob Bauer is a senior data scientist in Chicago with 13 years of experience who transitioned from a PhD in astrophysics to applying deep learning at the intersection of computer vision, NLP, and MLOps. He brings a strong HPC and simulation background—having run terabyte-scale astrophysics simulations and managed distributed computing projects like MilkyWay@Home—which informs his pragmatic approach to scalable model training and production data infrastructure. At Striveworks he tackles novel, cross-sector problems (including government) by combining research-grade methods with operational engineering. Notable for bridging theoretical modeling and applied ML, he excels at turning complex scientific problems into robust, production-ready pipelines.
13 years of coding experience
4 years of employment as a software developer
Master of Philosophy (M.Phil.), Scientific Computing, Master of Philosophy (M.Phil.), Scientific Computing at University of Cambridge
B.S., Physics, 3.8 / 4.0, B.S., Physics, 3.8 / 4.0 at Rensselaer Polytechnic Institute
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Queen's University
English, Japanese