I am a second year Computer Science PhD student at the Georgia Institute of Technology, where I am advised by Professor James Rehg within the School of Interactive Computing. My research interests are in computer vision & perception, with applications to understanding social behavior and behavioral health indicators.
I graduated from Indiana University in 2020 with a B.S. in Computer Science and a B.M. in Clarinet Performance. At IU, I did research in the Music Informatics Lab and Computer Vision Lab. I also spent 2 summers interning at Google, where I worked on deep learning for diagnosing skin conditions and scene understanding for Nest Cams.
July 2021 Our paper Big Self-Supervised Models Advance Medical Image Classification was accepted to ICCV 2021!
August 2020 - I started my PhD in Computer Science at Georgia Tech
May 2020 - I am interning at Google this summer on the Dermatology team
May 2020 - I graduated from Indiana University with my B.S. in Computer Science and B.M. in Clarinet Performance
How can we make AI socially intelligent? I am investigating deep learning methods for modeling aspects of social behavior such as attention and gaze. I'm especially excited about applications of this work to behavioral health and understanding autism.
Can score following algorithms understand musicians in their natural practice setting? Our team created an efficient offline score following algorithm to model realistic, nonconsecutive musical practice.