Yuchen Lu
Yuchen Lu

Hi, I'm Yuchen!

I am currently a Ph.D. student in the department of computer science at Brown University, advised by Nikos Vasilakis and Deepti Raghavan. My research interests lie at the intersection of systems and machine learning, with a focus on automated code optimization, secure infrastructure for AI, and distributed systems.

During my undergraduate study at Boston University, I worked with Vasia Kalavri at CASP Lab on building systems for large-scale graph neural networks (GNNs).

Publications

Towards Practically-Secure Tools for AI Agents

Justus Adam, Yuchen Lu, Deepti Raghavan, Malte Schwarzkopf, and Nikos Vasilakis

EuroMLSys '26, April 27, 2026, Edinburgh, Scotland UK.

In situ neighborhood sampling for large-scale GNN training

Yuhang Song, Po Hao Chen, Yuchen Lu, Naima Abrar, and Vasiliki Kalavri

20th International Workshop on Data Management on New Hardware (DaMoN '24), June 10, 2024, Santiago, Chile.

🏆 Best Paper Award

Education