About Me
Resume
Garrett Limon is a Machine Learning Scientist based in Los Angeles, CA, with a Ph.D. in Climate and Space Sciences and Engineering from the University of Michigan (2025). He brings over a decade of scientific computing experience, including three years of Python and Fortran development prior to his doctoral work, during which he focused on building and evaluating deep learning and statistical models. He holds a B.S. and M.S. in Physics from California State University, Northridge, where he developed numerical methods for biomolecular solvation simulations; a foundation that informed his transition into computational atmospheric science and, ultimately, applied machine learning.
His doctoral research sits at the intersection of AI and Earth system modeling, spanning ML emulation of physical climate processes, live coupling of ML components into operational climate models, and the development of dynamical evaluation frameworks for next-generation AI-driven weather forecasting systems like Google’s GraphCast and NVIDIA’s FourCastNet.
Garrett was awarded the NSF Graduate Research Fellowship (GRFP) in 2018 and holds graduate certificates in both Data Science and Science & Technology Public Policy from the University of Michigan. He is seeking Data Scientist and Applied Scientist roles where rigorous scientific thinking drives real-world impact.
Awards & Honors
- Graduate Research Fellowship Program (GRFP), National Science Foundation (2018)
- Funded Attendee, AMS Summer Policy Colloquium, American Meteorological Society (2022)
- D.E. Bianchi Outstanding Graduate Student Award, CSU Northridge College of Science & Mathematics (2018)
- Inductee, Sigma Pi Sigma National Physics Honor Society, CSU Northridge Chapter (2018)
Certifications
- Graduate Certificate - Data Science, University of Michigan (2025)
- Graduate Certificate - Science Policy, University of Michigan (2025)
- Certificate - Proficiency in High Performance Computing, International Summer School on HPC Challenges in Computational Science (2017)
Leadership
- President, Graduate and Undergraduate Student Organization, U-M CLaSP (2020-2021)
- Student Engagement Chair, Graduate and Undergraduate Student Organization, U-M CLaSP (2019)
- Panelist, Fellowship Writing Tutorial and Panel, U-M (2020)
- Reviewer & Organizer, NSF & External Funding Workshop, U-M (2021)
Teaching
Garrett has served as a Graduate Student Instructor at California State University, Northridge, teaching introductory Astronomy and Electricity & Magnetism laboratory courses. Responsibilities included developing lesson plans, quizzes, and lectures while guiding students through both theory and hands-on experiments.
Technical Skills
- Languages: Python, Fortran, MATLAB, SQL (in progress)
- Machine Learning & Data Science: PyTorch, TensorFlow, scikit-learn, Xarray
- Scientific Computing & HPC: MPI, PBS, Bash, Git, LaTeX