Publications
(2025). Building Machine Learning Challenges for Anomaly Detection in Science. arXiv.
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(2025). Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction. 2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).
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(2024). Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling: A Summary of Results. Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems.
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(2023). Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-Variability-Aware Approach. I-GUIDE Forum 2023: Harnessing the Geospatial Data Revolution for Sustainability Solutions.
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(2020). A Reliability Budget Analysis of CESM-DART. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS.
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(2017). GCMs With Full Representation of Cloud Microphysics and Their MJO Simulations. SUB-SEASONAL TO SEASONAL PREDICTION: THE GAP BETWEEN WEATHER AND CLIMATE FORECASTING.
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