Summary
Adam Morgan is a Principal Data Scientist based in Berkeley with 15 years of experience applying statistical modeling, machine learning, and software engineering to real-world problems across industry and academia. With a PhD in Astrophysics from UC Berkeley and advanced degrees from Cambridge, he moved from time-domain astronomy research—publishing 30+ refereed papers—to leading ML teams and production data platforms at Target. He combines 5+ years of object-oriented Python development and pipeline engineering (HDF5, SQL, real-time streams) with hands-on mentorship and course instruction, having taught Python bootcamps and university courses. A proven project leader, he has built cross-disciplinary teams, managed AWS infrastructure for career-education initiatives, and translated complex scientific workflows into scalable production systems. Notably, his outreach spans classrooms to Congress, reflecting an unusual aptitude for communicating technical ideas to diverse audiences.
15 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Astrophysics, Doctor of Philosophy (Ph.D.) Astrophysics at University of California, Berkeley
Master of Advanced Study (MAst) Mathematics, Master of Advanced Study (MAst) Mathematics at University of Cambridge
Bachelor of Science (BS) Astronomy and Astrophysics Physics, Bachelor of Science (BS) Astronomy and Astrophysics Physics at Penn State University