Rishabh Iyer

Rishabh Iyer is an Assistant Professor in the Electrical Engineering and Computer Sciences department at the University of California, Berkeley. He joined Berkeley after completing his PhD in Computer Science at EPFL in Switzerland and his bachelor’s degree in Electrical Engineering at IIT Bombay. His research focuses on computer systems, with an emphasis on developing techniques that enable engineers to build systems with well-understood performance and functionality. His work spans operating systems, networking, computer architecture, and formal methods. Iyer is affiliated with the Networked Systems Lab (NETSYS) and teaches courses such as CS 168 and CS 262A.

Rishabh Iyer is an Assistant Professor of Computer Science at UC Berkeley, specializing in Computer Systems and Networking. His research focuses on improving the performance, reliability, and security of network functions and system software. Key areas include performance interfaces for network functions, automated synthesis of adversarial workloads, and latency optimization techniques. Iyer's work explores methods to achieve microsecond-scale tail latency, bypass load balancers, and enhance cache freshness for real-time applications. He also investigates performance modeling, scheduling on heterogeneous architectures, and input validation for software-defined WANs. His research emphasizes practical, scalable solutions for modern distributed systems.