Summary
Jack Steilberg is an Associate Technical Staff member at MIT Lincoln Laboratory with nine years of experience applying AI and signal-processing techniques to defense-relevant problems. He has a strong academic foundation in computer science and mathematics (BS, MS, 3.8 GPA) from Northeastern and a track record of research-to-production work—from building HDF5 databases of millions of simulated radar interactions and achieving 95% classification accuracy to deploying models with Docker, Kubernetes, and GCP. His background spans chaotic-systems research, acronym disambiguation at NASA, and investor-focused modeling at a fintech startup, reflecting versatility across domains and scales. Jack blends rigorous mathematical modeling with practical engineering, routinely optimizing simulation performance and shipping deployable ML pipelines. Based in Cambridge, he brings curiosity-driven research instincts to operational AI for national defense, and outside of work has hands-on leadership experience running safety programs for hundreds of children.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science and Mathematics, 3.8/4.0, Bachelor of Science - BS, Computer Science and Mathematics, 3.8/4.0 at Northeastern University
High School, High School at Mills E Godwin High School
English, Spanish, German