research overview My research focuses on advancing the predictability of weather and climate systems through innovative applications of machine learning, data assimilation, and hybrid modeling approaches.
selected publications journal article Controllable Probabilistic Forecasting with Stochastic Decomposition Layers 2025 Improving AI Weather Prediction Models Using Global Mass and Energy Conservation Schemes. Journal of Advances in Modeling Earth Systems. 2025 Expanding the Limits of Explainable AI Tools in Generating Physical Insights 2025 Investigating the Use of Terrain-Following Coordinates in AI-Driven Precipitation Forecasts. Geophysical Research Letters. 2025 Implementation and validation of a supermodeling framework into Community Earth System Model version 2.1.5. Geoscientific Model Development. 5451-5465. 2025 Community Research Earth Digital Intelligence Twin: a scalable framework for AI-driven Earth System Modeling. npj Climate and Atmospheric Science. 2025 CAMulator: Fast Emulation of the Community Atmosphere Model 2025 Improving Climate Bias and Variability via CNN-Based State-Dependent Model-Error Corrections. Geophysical Research Letters. 2025 Colitis Cystica Profunda: A Rare Cause of Rectal Bleeding.. American Journal of Gastroenterology. 20. 2025 Increasing the Reproducibility and Replicability of Supervised AI/ML in the Earth Systems Science by Leveraging Social Science Methods. Earth and Space Science. 2024 Exploring the Relative Importance of the MJO and ENSO to North Pacific Subseasonal Predictability. Geophysical Research Letters. 2024 Deterministic and stochastic tendency adjustments derived from data assimilation and nudging. Quarterly Journal of the Royal Meteorological Society. 1420-1446. 2024 Increase in MJO predictability under global warming. Nature Climate Change. 2024 Supermodeling Improving Predictions with an Ensemble of Interacting Models. Bulletin of The American Meteorological Society - (BAMS). E1670-E1686. 2023 Deep Learning Forecast Uncertainty for Precipitation over the Western United States. Monthly Weather Review. 1367-1385. 2023 Using Deep Learning for an Analysis of Atmospheric Rivers in a High-Resolution Large Ensemble Climate Data Set. Journal of Advances in Modeling Earth Systems. 2023 Probabilistic Predictions from Deterministic Atmospheric River Forecasts with Deep Learning. Monthly Weather Review. 215-234. 2022 Monthly Modulations of ENSO Teleconnections: Implications for Potential Predictability in North America. Journal of Climate. 5899-5921. 2021 Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning.. Radiology. 349-358. 2021 Towards implementing artificial intelligence post-processing in weather and climate: proposed actions from the Oxford 2019 workshop. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2021 Clinical Calculator Based on Molecular and Clinicopathologic Characteristics Predicts Recurrence Following Resection of Stage I-III Colon Cancer.. Journal of Clinical Oncology. 911-919. 2021 ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather. Geoscientific Model Development. 107-124. 2021 Direct and Indirect Effects-An Information Theoretic Perspective.. Entropy. 2020 Improving Atmospheric River Forecasts With Machine Learning. Geophysical Research Letters. 10627-10635. 2019 The Angular Spectrum of the Scattering Coefficient Map Reveals Subsurface Colorectal Cancer.. Scientific Reports. 2998. 2019 Roll-to-roll nanoimprint lithography of ultrafiltration membrane. Journal of Applied Polymer Science. 2018
education and training Ph.D., University of California-San Diego 2022 M.S., Stanford University 2016 B.S., University of California-San Diego 2012