Varun Gohil

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Hi! I am a Ph.D. student at MIT CSAIL working with Prof. Christina Delimitrou. I design and optimize datacenter infrastructure by leveraging machine learning to drive system performance and efficiency.

My current research explores:

  • Resilient ML-driven systems: Improving reliability of systems that use ML policies for autonomous decision-making.
  • LLM-driven heuristic design: Using LLMs to discover and synthesize novel heuristics for system management.
  • Accelerator design and programming: Exploring LLM-driven accelerator design and defining programming abstractions that simplify hardware optimization.

I earned my Master’s at MIT, where I developed a frequency-aware request scheduler for microservices by modifying the Thrift RPC framework. I completed my undergraduate studies at IIT Gandhinagar, during which I worked on approximate computing, memory systems, and hardware for autonomous vehicles with Profs. Manu Awasthi, Joycee Mekie and Rajeev Balasubramonian

News

Feb 28, 2026 Our paper on predictor hierarchies in ML for Systems is accepted to Architecture 2.0 workshop at ASPLOS 2026.
Jan 26, 2026 Our paper on building resilient ML-driven sytems by using model uncertainty has been accepted to MLSys 2026.
Jan 15, 2026 I’ll be a TA for 6.S984: Datacenter Computing at MIT in Spring 2026.