Hi, I'm Dylan! I'm a second year PhD student in the Machine Learning Department at CMU, where I am fortunate to be advised by Zico Kolter. My research interests are in developing machine learning and deep learning algorithms in settings with limited labeled data. This broadly includes semi-supervised learning, representation learning, adapting pre-trained/foundation models, weak supervision, and out-of-distribution generalization.

Before, I studied math and computer science at Brown University, where I was advised by Stephen Bach. I was also very fortunate to collaborate with Eli Upfal and Brenda Rubenstein. In the past, I served as a research intern at Amazon AWS, MIT, and NASA JPL.

Outside of my studies and research, I enjoy playing tennis and am an avid soccer player/fan. If you are interested in my work, feel free to get in touch. I am always looking to form new collaborations!