Kai M. Hung

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I am a first-year PhD student in the MIT Institute of Data, Systems, and Society (IDSS), advised by Dr. Ali Jadbabaie. My research interest lie broadly in machine learning theory and safety for social systems. I am generously supported by the NSF GRFP, and an affiliate of LIDS.

Previously, I completed my B.A. in Computer Science at Rice University. There, I worked with Dr. César Uribe and Dr. Lydia Beaudrot on optimal transport-based graph learning for ecology. I was also hosted by Dr. Esteban Tabak at NYU Courant and Dr. Alison Gopnik at Berkeley AI Research during my summers.

Outside of research, I practice Taekwondo, hike, read, and cook!

Disclaimer: Without advanced notice, any research ideas shared with me may be shared with my advisor Ali.

For underclassmen, early researchers, FLI, or URM students

I am a FLI and immigrant student myself. Please do not hesitate to reach out if you have questions!


Acknowledgements: I am a lousy web developer and an even worse photographer. I owe much gratitude to Shreyas Minocha for helping me out with random kinks on this website. Shoutout to Siba Panigrahi for my sharp photo from the Eiffel tower! Much of the site aesthetics are inspired by Alex Hayes and al-folio.

Last updated: Oct 1st, 2024.


news

May 15, 2024 Rice news featured our work on optimal transport and food webs!
Apr 16, 2024 Shared thoughts on NSF GRFP with Rice Thresher. Article.
Nov 22, 2023 Paper accepted at NeurIPS 2023 OT and ML Workshop!
Aug 17, 2023 A fun Germany trip funded by Cornell, Maryland, and the Max-Planck Institute!
Dec 25, 2022 Checkout my welcome blog post!