Last updated 2019-06-25 21:00

Hello! I am a masters student at Harvard Computational Science. I am working on the application of inverse reinforcement learning and interpretable machine learning in healthcare. My advisor is Finale Doshi-velez.

Research Interests

My research focuses on the batch, off-policy, model-free inverse reinforcement learning and imitation learning in healthcare.

I have written peer-reviewed papers and a thesis on the problem of imitating and explaining experts in healthcare using Inverse Reinforcement Learning.


  • Donghun Lee, Srivatsan Srinivasan, Finale Doshi-Velez, Truly Batch Apprenticeship Learning with Deep Successor Features (IJCAI, 2019) Link

Other research projects

I worked on a number of small research projects. For other technical projects, check this page out.