Yutong (Kelly) He 何雨桐
Contact: yutonghe [at] cs [dot] cmu [dot] edu
PhD Student @ MLD, SCS, CMU
yutonghe [at] cs [dot] cmu [dot] edu
I am a fourth-year PhD student in the Machine Learning Department, School of Computer Science at Carnegie Mellon University, advised by Prof. Zico Kolter and Prof. Ruslan Salakhutdinov.
Before coming to CMU, I was a master’s student at Stanford Computer Science with distinction in research. I was advised by Prof. Stefano Ermon, and closely worked with Prof. Christopher Manning, Prof. David Lobell and Prof. Marshall Burke. I completed my B.S in Mathematics and B.S. in Data Science with highest distinction at University of Rochester, where I worked with Prof. Henry Kautz and Prof. Jiebo Luo.
I am a Qualcomm Innovation Fellowship winner and was selected as a Siebel Scholar and a Xerox Engineering Research Fellow. I was also awarded an Outstanding Paper Award at ICLR 2022 and Doris Ermine Smith Award for Achievement in Mathematics.
My research focuses on generative modeling and machine learning, with an emphasis on controllable and personalized generation. I study methods that make generative models more intuitive, efficient, and reliable, with applications in visual content creation, image editing, and other creative applications.