I work with Dr. Andrew Wilson's machine learning research

group in the Department of Operations Research and Information

Engineering at Cornell University. We're finding exciting new

ways to make machine learning models interpretable and task-

transferable. My current research projects include the

incorporation of probabilistic state transition models into

reinforcement learning (RL) algorithms. Model-based approaches

to RL have exciting applications in the fields of robotics and

optimal control. We’re building our code off of GPyTorch, the

cutting edge package for Gaussian Processes in Pytorch.