My research focuses on Algorithmic Learning Theory and its application in other fields, mainly by designing provably efficient ML algorithms and/or analyzing the performance of existing ones. Past results of my research includes proposing a polynomial-time algorithm for learning 2-layer ReLU neural networks under Gaussian marginals, improved analysis of the performance of gradient descent, as well as applying the idea of learning to analyze our current common law system.