Presentations

(2024). Ingredients-Based Explainability: Using Tree Interpreter to Disaggregate a Random Forest's Severe Weather Predictions. 23rd Conference on Artificial Intelligence for Environmental Science, Baltimore, MD.

(2024). Understanding Training Data Components for Excessive Rainfall Machine-Learning Models: A look inside the Unified Flooding Verification System. 23rd Annual AMS Student Conference, Baltimore, MD.

(2024). When Do Machine Learning Forecasts Succeed and Fail? Evaluating Synoptic Regimes Associated With a Random Forest's Good and Bad Severe Weather Predictions. 14th Conference on Transition of Research to Operations, Baltimore, MD.

(2023). Understanding and Improving Predictability of High-Impact Weather Hazards Through the Lens of Machine Learning.. American Geophysical Union Fall Meeting, virtual, December 2023.

(2023). AI and Machine Learning in NWP: A look at Excessive Rainfall with the CSU-MLP. Winter Weather Workshop, NWS OKX WFO, virtual, November 15th 2023.

(2023). Machine Learning for Operational Weather Forecasting. National Weather Service Eastern Region Science Sharing Webinar, virtual, October 2023.

(2023). Machine Learning for Operational Weather Forecasting. National Weather Service SOO/DOH Meeting, Denver, CO, August 2023.

(2023). An Initial Assessment of Environmental Influences on QLCS-tornadogenesis from PERiLS Field Campaign Datasets and High-Resolution Simulations. 28th Conference on Numerical Weather Prediction, Madison, WI, July 2023.

(2023). Extended Range Machine-Learning Severe Weather Guidance Based on the Operational GEFS. 28th Conference on Numerical Weather Prediction, Madison, WI, July 2023.

(2023). How Far Into the Medium Range Can Probabilistic Excessive Rainfall Forecasts be Extended?. 32nd Conference on Weather Analysis and Forecasting, Madison, WI, July 2023.