Recent Conference Presentations & Invited Seminars
- Distilling Machine Learning-based Climate Emulators for Physical Understanding, highlighted talk at the American Geophysical Union Fall Meeting 2025, New Orleans, LA, USA
- Attributing Trends of Lower Tropospheric Inversion Strength, contributed talk at the American Geophysical Union Fall Meeting 2025, New Orleans, LA, USA
- Spatial Controls of Lower Tropospheric Inversion Strength, talk at the joint Cloud Feedback Model Intercomparison Project – CloudSense Meeting (July 2025), Exeter, UK
- Reanalysis-based Global Radiative Response to Sea Surface Temperature Patterns: Evaluating the Ai2 Climate Emulator, poster at the joint Cloud Feedback Model Intercomparison Project – CloudSense Meeting (July 2025), Exeter, UK
- The global energy budget: from models to observations, invited seminar at the Vrije Universiteit Brussel (VUB) Water and Climate department (June 2025), Brussels, Belgium
- Convolutional Neural Networks for out-of-distributions predictions: Observation-based Estimate of Radiative Feedback and Forcing, poster at the Gordon Research Conference “Machine Learning for Actionable Climate Science” (June 2025), Smithfield, RI, USA
- Distilling machine learning-based climate emulators for physical understanding, talk at the CESM Workshop 2025 (June 2025), Boulder, CO, USA. Recording here.
- Observation-based estimate of effective radiative forcing, talk at the ECS & cloud feedback virtual symposia (May 2025). Recording here @ 32:00.
- Observed radiative forcing diagnosed with a convolutional neural network and minimal use of climate models, poster at the American Geophysical Union Annual Meeting 2024, Washington DC, USA
- Convolutional Neural Networks for out-of-distributions predictions, Invited seminar at New York University, Climate & Ocean Physics (2024)
- Diagnosing Radiative Response and Forcing from Surface Temperature Patterns with Explainable Artificial Intelligence, poster at the Cloud Feedback Model Intercomparison Project Meeting 2024, Boston, MA, USA – received the CFMIP Early Career Scientist Award
- Foundations for Universal Non-Gaussian Data Assimilation, contributed talk at the American Geophysical Union Fall Meeting 2023, San Francisco, CA, USA
- Nongaussian Data Assimilation, poster at the International Symposium on Data Assimilation 2023, Bologna, Italy
- Nongaussian Ensemble Data Assimilation, Contributed talk at the Asia Oceania Geosciences Society 20th Annual Meeting, Singapore (2023)
- Machine Learning for Distribution Selection in Non-Gaussian Variational Data Assimilation, Poster at the American Meteorological Society Annual Meeting 2023, Denver, USA
- Machine Learning for Distribution Selection in Non-Gaussian Variational Data Assimilation, Poster at American Geophysical Union Fall Meeting 2022, Chicago USA
