I’m a third-year CS PhD student at Virginia Tech, advised by Prof. Chandan Reddy. I am also currently a research intern at Apple. My primary research topic is AI for symbolic generation (code, math, reasoning) and its potential for scientific discovery. I mostly focus on developing better algorithms for language models to handle symbolic reasoning and scientific discovery tasks, while studying their current limitations. During the course of my PhD, I have also pursued summer AI/ML research internships at Adobe (2024) and Gilead Sciences (2022). Prior to starting my PhD, I completed my MS in Operations Research at Virginia Tech, and obtained my BS from Sharif University of Technology.
If you’re interested in my research, would like to discuss relevant topics, or explore potential collaborations, please feel free to get in touch :) - I am best reached by email at parshinshojaee@vt.edu
Conference Reviewer: ICML 2025, AISTAT 2025, ICLR 2025, NeurIPS 2024 (Top Reviewer both Main & DB Tracks)
Journal Reviewer: Nature, TMLR, npj AI, ACM TIST
Workshop Reviewer: NeurIPS 2024 AI for Math, ICML 2024 AI for Science
When I’m not into AI research, I enjoy exploring all kinds of music and playing Tar and Setar instruments (think Persian guitars with their own unique twist).
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