Summary
Santosh Pandey is an Assistant Professor and systems researcher who blends machine learning, high-performance computing, and computer architecture to build and accelerate ML/HPC applications and the systems that run them. With nine years of experience spanning research internships at Berkeley Lab, collaboration with Brookhaven National Laboratory, a stint as a Student Researcher at Google, and leadership in AI engineering, he focuses on ML-driven microarchitecture simulation and hardware-software co-design. His work has produced accurate, reusable ML-based simulators and scaled simulation models through co-design—bridging practical system optimization and advanced ML methods. A Rutgers PhD candidate with a master’s from Stevens and competitive wins like the 2019 graph challenge, he brings both academic rigor and hands-on engineering to complex performance problems.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Tribhuvan University
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Stevens Institute of Technology
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Rutgers University
English