Minh Pham-Dinh Kahlert Fellow

PhD student making multimodal agents more capable and adaptable

Kahlert School of Computing · University of Utah

Advised by Kenneth Marino · m.pham-dinh (at) utah.edu

“The authors claim this is the first work to address this problem. This is false (Schmidhuber et al, 1999).” — Reviewer 2 idea from my college buddy Jacob

Scholar CV GitHub LinkedIn X Bluesky

01About

I am a PhD student at the University of Utah, advised by Professor Kenneth Marino. These days I am mostly interested in enhancing the general capabilities and adaptation of multimodal agents: agents that see, read, and act, and that can pick up new skills and adjust to unfamiliar environments without being retrained from scratch.

Before Utah, I completed my undergraduate degree at Colby College, where I conducted AI and assistive robotics research at the Davis Institute for Artificial Intelligence and the INSITE Lab. I’m always open to collaborations on agents, both on screens and in the physical world.

02News

Oct 2026New preprint: MiniWeb, a skill-centric approach to generalist web agents. Now on arXiv.
Oct 2026Top Reviewer at NeurIPS 2026 (top 8%). See you in Atlanta!
Oct 2026New preprint: WebMix, remixing adapters instead of retraining.
Sep 2026Honored to receive the Kahlert Fellowship.
Aug 2026Started my PhD at the University of Utah.