Akul Goyal is a PhD student in the Computer Science Department at the University of Illinois at Urbana-Champaign.
He is currently being advised under Professor Adam Bates.
Akul’s research interests are focused on data provenance and anomaly detection.
In the past, Akul has worked with Professor Yang Liu in the area of noise resistant machine learning and Professor Sesh Comandur in combinatorial graph counting algorithms.
Akul obtained his MS and BS at the University of California Santa Cruz in 2019.
Akul defended his dissertation, titled “Realizing Provenance Aware Intrusion Detection Systems in an Enterprise Setting”, in Summer 2026.
Afterward, he joined Apple’s Machine Learning Research Team.