I’m a rising fifth year PhD student in the Machine Learning Department at Carnegie Mellon University advised by Professor Virginia Smith. My current research focuses on automated machine learning (AutoML) and more specifically meta-learning. I’m also a student researcher in the Vizier team at Google DeepMind.

In the past, I interned with the Custom Labels team in Amazon Web Services (Rekognition) and the Applied Machine Learning team (Bellevue, WA) at ByteDance. I have worked on areas including meta-learning, zeroth-order-gradient estimation, out-of-distribution generalization/evaluation, federated learning, privacy protection, and model interpretability.

Before my PhD, I graduated Summa Cum Laude with double majors in Math and Computer Science from Duke University where I worked with Professor Cynthia Rudin.