Elena Orlova

Elena is a Compuer science PhD student at the University of Chicago, working with Professor Rebecca Willett. Her research focuses on machine learning and its scientific applications, with particular emphasis on generative models for quantum simulations, emulators for chaotic systems, and advanced techniques in weather forecasting. Elena has experience with tensor networks for neural network compression and generative adversarial networks (GANs).

Before her doctoral studies, she earned a Bachelor’s degree in Mathematics, and a Master’s degree in Mathematics and Computer Science.