Varun Gohil
Hi! I am a Ph.D. student at MIT CSAIL working with Prof. Christina Delimitrou. My work focuses on developing reusable mechanisms/recipes that enable safe and efficient integration of machine learning into computer systems.
My current focus is on:
- Improving resiliency of ML-driven computer systems using uncertainty estimation.
- Synthesizing novel and interpretable heuristics for managing computer systems using LLM-based discovery.
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.
I maintain ml-for-systems.github.io to track ML-for-Systems papers in top-tier systems venues.
News
| Apr 30, 2026 | Our paper QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture has been accepted to ICML 2026. |
| Apr 19, 2026 | Launched ml-for-systems.github.io to track all ML-for-Systems papers published in top-tier systems conferences. Check it out! |
| Feb 28, 2026 | Our paper on predictor hierarchies in ML for Systems is accepted to Architecture 2.0 workshop at ASPLOS 2026. |