Santosh Pandey

I am a PhD candidate in Computer Engineering at Rutgers University, supervised by Prof. Hang Liu. I completed my undergraduate from Tribhuvan University, Nepal where my undergraduate research advisor was Prof. Subarna Shakya. During my PhD, I interned at Google, Lawerence Berkeley National Lab and Brookhaven National Lab.

My research interests lie at the intersection of systems and ML/HPC applications, focusing on full-circle innovation–using ML/HPC to design better systems (more current focus) and building optimized systems for ML/HPC applications. Notably, I have worked on developing accurate and reusable ML-based microarchitecture simulators while also accelerating and scaling these simulation models with hardware-software co-design, demonstrating the synergy between system optimization and ML/HPC.

My long-term focus is on automating the design and optimization of computing stacks (programs, compilers, and microarchitecture), leveraging generative models for design generation and deep learning models for performance modeling/optimization.

I enjoy hiking and playing soccer in my free time.

ExchangeMeet: Diverse social between two labs from any field, something I started in our lab (learnings/blogs).

[ I will be graduating in May 2025, and I am in the job market for tenure-track faculty positions in academia. ]

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