About
I work in fundamental machine learning research areas and apply machine learning to problems in climate and weather. My research interests lie predominantly within machine learning and optimization, and include federated learning and optimization under heterogeneity; the intersection and trade-offs of fairness, robustness, and other performance metrics; unsupervised and embedding learning; and applying ML to address the climate crisis.
Research Areas
Learn more about how we do research
We maintain a portfolio of research projects, providing individuals and teams the freedom to emphasize specific types of work