Hi! I am a Computer Science Master's student at Cal Poly SLO (aka California Polytechnic State University, San Luis Obispo). I specialize in Deep Learning, particularly applications in Earth and Atmospheric Sciences. My passions for programming, music, and the environment often intertwine in my projects. Click below to learn more!
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| Education | Experience | Projects |
| Master's, CSC | California Polytechnic State University, SLO
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Fall 2021 — |
| B.Sc., CSC |
California Polytechnic State University, SLO
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Fall 2018 — |
Developing a physics-inspired deep learning architecture for hurricane rainfall forecasting, outperforming state-of-the-art numerical models. Work is continuing as a funded project.
Winter 2021 — PresentResearching physics-informed machine learning approaches to sea-surface temperature, utilizing Koopman operator theory and autoencoders. Lead author on resulting research paper.
Summer 2020Master’s thesis, an ongoing project to explore deep learning techniques for detection of urban trees from LIDAR data.
Fall 2021 — Summer 2022 (expected)2nd place finish at the 2022 MIT Interdisiplinary Quantum Hackathon, out of at least 60 teams.
Feb. 2022Project to develop a deep-learning computer vision system for classifying the structural integrity of school buildings in developing countries, specifically Kyrgystan.
Fall 2020 | CSCSU 2021