Serving as a tutor (TA) for various machine learning & data analytics courses at the masters level. Responsible for delivering weekly in-person tutorials, for which I received an award based on student feedback for outstanding achievement in teaching.

PhD student in computer science. Studying physical-statistical hybrid machine learning methods with applications to climate and renewable energy, with a particular focus on Bayesian and kernel methods.

Statistical-physical hybrid modeling of PV power plants facilitated through the APR research internship program.

Developing and applying machine learning algorithms to analyze, predict, and improve operations of the Southern California electric grid.