Summary
Corey Adams is a Senior Software Engineer specializing in scientific machine learning, blending a PhD in physics with 11 years of experience applying ML to large-scale scientific problems. He has led DOE-funded research teams and transitioned research-grade AI workflows from supercomputers at Argonne to industry platforms at AMD and NVIDIA, focusing on GPU-accelerated training and deployment. His background in neutrino experiments and detector reconstruction informs a practical, data-first approach to model design and high-resolution inference. Known for moving cutting-edge ML from prototype to production in HPC environments, he pairs deep domain knowledge with hands-on engineering across ROCm and data center GPU stacks. Based in Chicago, he brings uncommon fluency bridging experimental physics, scalable ML infrastructure, and technical productization.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Yale University
Bachelor of Science, Mathematics, Bachelor of Science, Mathematics at University of Rochester