Arpit Gupta

Arpit Gupta is a Faculty Scientist at Lawrence Berkeley National Laboratory (Berkeley Lab) and an Assistant Professor of Computer Science at the University of California, Santa Barbara (UCSB). He co-directs UCSB's Systems and Networking Lab, where he focuses on developing scalable and trustworthy systems that address real-world problems, particularly in networking and machine learning.

Academic Background and Research

Gupta holds a B.Tech in Electronics & Communication from the Indian Institute of Technology, Roorkee, a Master's degree in Computer Science from North Carolina State University, and a Ph.D. in Computer Science from Princeton University. His research is centered on creating production-ready machine learning artifacts for networking, aiming to develop "self-driving networks" that enhance connectivity with minimal human intervention. He has pioneered several tools, including netUnicorn and Trustee, which facilitate data collection and improve model interpretability in network environments.12

Role at Berkeley Lab

In July 2024, Gupta joined Berkeley Lab's Scientific Networking Division, where he will continue his innovative work on foundation models for networking. These models leverage large datasets to enhance the performance and generalizability of machine learning applications in networking contexts. His work is expected to significantly contribute to the development of AI-driven networking solutions, utilizing the advanced capabilities of the lab's resources, including the Perlmutter supercomputer.13

Gupta's commitment to addressing digital equity issues is reflected in his ongoing projects, which aim to ensure secure and affordable internet access for all. His efforts include developing tools that democratize networking research and enable data-driven policymaking.2