Matthew Kim

Hello!

I'm an undergraduate student studying computer science at UC San Diego, where I am advised by Sylvia Herbert.

I have also had the privilege of collaborating with Andrea Bajcsy at Carnegie Mellon University, and Somil Bansal at Stanford University.

I am currently applying to PhD programs!

mak009 [at] ucsd [dot] edu  /  Scholar  /  Github  /  LinkedIn

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Research

My interests lie in learning algorithms that enable robots to remain reliable in complex environments. My work thus far has primarily involved developing safety filters for autonomous systems.

clean-usnob What You Don't Know Can Hurt You
Matthew Kim*, Kensuke Nakamura*, Andrea Bajcsy

Submitted, Sep 2025

[paper / website]

Investigated how partial observability manifests in world models and latent safety filters.

clean-usnob Reachability Barrier Networks
Matthew Kim, Will Sharpless, Hyun Joe Jeong, Sander Tonkens, Somil Bansal, Sylvia Herbert

Submitted, Apr 2025

[paper / video / poster]

Learned Hamilton-Jacobi solutions to approximate smooth and flexible CBFs for general non-linear autonomous systems.

clean-usnob Koopman-Hopf Hamilton-Jacobi Reachability and Control
Will Sharpless, Nikhil Shinde, Matthew Kim, Yat Tin Chow, Sylvia Herbert

Arxiv Preprint, Nov 2023

[paper]

Leveraged Koopman linearizations and the Hopf formula to obtain a performant algorithm for high-dimensional, nonlinear autonomy.


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How the mighty have fallen.