I am a Ph.D. candidate at the GRAIL Lab and Geometric Learning Lab at Northeastern University, advised by Lawson Wong and Robin Walters. My research interests are in imitation learning and symmetry. I aim to apply strong inductive biases like symmetry or expert demonstrations to learning algorithms so that they can be more efficient and generalize. I’ve also worked on making imitation learning more robust with learned dynamics models, predicting complex dynamics over meshes, and on multiresolution tensor models for spatial analysis.

I am currently on the job market for industry research positions, please see my CV. Feel free to reach out at park.jungy at northeastern dot edu.