Santosh Pandey

I’m a Tenure-Track Assistant Professor at Bellini College of AI, Cybersecurity, and Computing. I completed my doctoral degree from Rutgers University in New Brunswick, NJ, and a master’s degree from Stevens Institute of Technology in Hoboken, NJ, where I was advised by Prof. Hang Liu. I received a Bachelor of Engineering in Computer Engineering from Tribhuvan University, Kathmandu, Nepal. During my PhD, I interned at Google, Lawrence 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.

[ I am actively recruiting 2-3 highly motivated and dedicated PhD students to join my research group during the Fall 2025 and Spring 2026 cycle. These positions will be fully funded (tuition waiver + competitive stipend). My lab will focus on Machine Learning(ML)-driven computing systems, bridging high-performance computing, ML, and computer architecture.

If you have some background in one of the above areas and are interested in shaping the future of computing systems, please get in touch with me at santoshlab2025@gmail.com, including “Prospective PhD student-[Your name]” in the subject along with your CV, transcript, and your research interest. ]

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