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jerrylin96/README.md

☁️ Jerry Lin

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Personal Website LinkedIn Google Scholar ORCiD

😊 About Me

I am currently a Postdoctoral Associate in Libby Barnes' lab at Boston University. My research focuses on improving our understanding of the limitations and utility of AI-weather emulators for climate and weather prediction. I previously worked on hybrid physics-ML climate models during my PhD at the University of California, Irvine, where I was advised by Mike Pritchard (now at NVIDIA).

📫 E-Mail

If you would like to reach me directly, you can send me an email at jlin404@bu.edu.

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  1. leap-stc/ClimSim leap-stc/ClimSim Public

    An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.

    Jupyter Notebook 159 52

  2. SciPritchardLab/ClimScale SciPritchardLab/ClimScale Public

    This repository contains code used to train and dynamically couple hundreds of neural network convective parameterizations at a time.

    Jupyter Notebook 2

  3. leap-stc/climsim-kaggle-edition leap-stc/climsim-kaggle-edition Public

    GitHub repo for Crowdsourcing the Frontier: Advancing Hybrid Physics-ML Climate Simulation via a $50,000 Kaggle Competition

    Jupyter Notebook 9 2

  4. ClimateShift-Alpha ClimateShift-Alpha Public

    Web App for Future Forward Investing

    TypeScript