Aurojit Panda

Aurojit Panda is an Assistant Professor of Computer Science at New York University's Faculty of Arts and Science. His research focuses on lightweight mechanisms for system correctness, network function virtualization, and distributed systems. He holds a Ph.D. from UC Berkeley and a B.S. from Brown University.

Education:

• Ph.D., Computer Science, UC Berkeley (2017)
• B.S., Math-Computer Science, Brown University (2008)

Research Interests:

• Network Function Virtualization (NFV)
• Distributed Systems Correctness
• Machine Learning Tooling and Optimization
• Operating Systems and SmartNIC Offloading

Recent work includes designing distributed shared logs for datacenters, analyzing straggler effects in large model training, and developing tools like NNSmith for deep learning compiler testing.

Teaching includes courses on distributed systems, operating systems, and big data/machine learning. He is actively involved in research teams such as NetSys Lab and contributes to open-source projects like NetBricks and BESS.