Hi! I'm Matthew Lau, a PhD CS student from Georgia Tech.

About

I love Math, and my research interests lie in data-driven methods (Machine Learning, Statistics, Causality), particularly aimed at safety, trustworthiness/robustness and security. I am particularly interested in the intersection between learning theory and anomaly/novelty detection — how can we know the unknown? Some of my other related interests include (adversarial) robustness, causal modeling and implicit bias in optimization.

• My theoretical work explores the intersection between anomaly/novelty detection, traditional classification and learning theory.

• My applied work focuses on anomaly detection and localization through causal modeling, especially for cyber-physical security, as well as the adversarial robustness of vision-based one-class classifiers/object detectors. 

Please reach out if you are interested in collaborating or chatting!