Summary
Seth Ockerman is a Ph.D. candidate in Computer Science at UW–Madison with six years of experience researching and optimizing AI and ML workloads for high-performance computing. Funded by the NSF GRFP and advised by Professor Shivaram Venkataraman, he focuses on characterizing and scaling AI workloads and designing vector database and optimization solutions for HPC environments. His work spans collaborations with Argonne, Berkeley Lab, and UC Berkeley, where he implemented parallel Bayesian optimization improvements that sped time-to-solution and improved parameter selection. Seth has a strong teaching background in big data systems, a track record accelerating bioimage analysis by orders of magnitude, and maintains practical software instincts from game and web development projects. Notably, he blends systems-level performance tuning with applied ML research, producing both published results and open-source tools like BioPII.
6 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Wisconsin-Madison
Computer Science, Computer Science at Grand Valley State University
High School Diploma, College/University Preparatory and Advanced High School/Secondary Diploma Program, High School Diploma, College/University Preparatory and Advanced High School/Secondary Diploma Program at Dexter High School