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About

Hi, I'm Dylan! I'm a first year PhD student in the Machine Learning Department at CMU, where I am very grateful to be advised by Zico Kolter. I'm partially supported by the ARCS Foundation Scholarship. My research interests are in developing principled and theoretically-sound machine learning algorithms, especially in settings with limited labeled data. I am also interested in representation learning, out-of-distribution generalization, and weak supervision.

I graduated from 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 NASA JPL and a data science intern at MIT.

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!

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