About Me
Resume
Los Angeles-raised Machine Learning Scientist, now based back in LA after finishing a Ph.D. in Climate and Space Sciences and Engineering from the University of Michigan, Ann Arbor (2025). Brings over a decade of scientific computing experience, including three years of Python and Fortran development prior to doctoral work, during which the focus was on building and evaluating deep learning and statistical models. Holding a B.S. and M.S. in Physics from California State University, Northridge, with a foundation in numerical methods for biomolecular solvation simulations; work that informed the transition into computational atmospheric science and, ultimately, applied machine learning.
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 flagship 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.
Awarded the NSF Graduate Research Fellowship (GRFP) in 2018, with graduate certificates in both Data Science and Science & Technology Public Policy from the University of Michigan. Currently 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
Served three semesters 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