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Parshin Shojaee

Ph.D. Student
Virginia Tech
parshinshojaee@vt.edu


About Me

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

News

Selected Publications

  1. ICLR 2025
    Parshin Shojaee*, Kazem Meidani*, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy (*Equal Contribution)
    International Conference on Learning Representations (ICLR 2025).

  2. ICLR 2024
    Kazem Meidani*, Parshin Shojaee*, Chandan K. Reddy, Amir Barati Farimani (*Equal Contribution)
    International Conference on Learning Representations (ICLR 2024).

  3. NeurIPS 2023
    Parshin Shojaee*, Kazem Meidani*, Amir Barati Farimani, Chandan K. Reddy (*Equal Contribution)
    Advances in Neural Information Processing Systems (NeurIPS 2023).

  4. TMLR
    Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy
    Transactions on Machine Learning Research (TMLR), 2023.

  5. AAAI 2025
    Chandan K. Reddy, Parshin Shojaee
    The Association for the Advancement of Artificial Intelligence (AAAI 2025).

  6. COLING 2025
    Parshin Shojaee, Sai Sree Harsha, Dan Luo, Akash Maharaj, Tong Yu, Yunyao Li
    International Conference on Computational Linguistics (COLING 2025, Industry Track)

Services

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

A little more about me

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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