Arash is a PhD candidate at MIT CSAIL, advised by Mohammad Alizadeh. He is interested in modeling computer systems with causality and machine learning.
In his Master's thesis, he designed a causal machine learning method for unbiased trace-driven simulation (CausalSim) which received the 🏆best paper award🏆 at NSDI '23. He has been the recipient of Jacobs Presidential Fellowship and Neekeyfar Fund Award.

Before MIT, he did his undergrad in the Electrical Engineering department, Sharif University of Technology.

He spent the summer of 2022 as a research intern at Causality and Machine Learning group, Microsoft Research Redmond, working with Emre Kiciman. He was a student researcher at Google from June 2023 until December 2024, working on CPU performance modeling.

In early mornings, you can find him rowing on the Charles River with the 🚣🏻MIT Rowing Club🚣🏻.