I'm a computer science researcher specialising in LLM Interpretability and Cognitively-Inspired AI. I'm passionate about building models that are not only powerful but also logically understandable. Though I should add, I do tend to diverge and dabble in a quite a few more passion projects or fascinating algorithmic questions as well. :)
- 🔎 Finishing my Master's thesis on generative model interpretability (the repository is still private, whoops).
- 🧠 Leading the design of an extremely fun and challenging educational C.S. game for undergraduate students.
- 🔭 Exploring concept-based interpretability methods for RAG systems as a research mentor.
- 🤖 And of course, beginning my journey into Neurosymbolic AI for my future PhD.
My core interest lies at the intersection of machine learning and human cognition; I've been diving deeply into both, and mean to merge conceptual models of the human cognition with the design of ML systems to improve how models think and hopefully perform. When I'm not working on research, I enjoy creative coding, developing tools for other developers (like VSCode themes), and applying mathematical concepts to practical programming challenges.
⠀AI & Machine Learning
⠀Other Languages & Databases
⠀Design & Illustration
⠀Tools & Platforms
I'm always excited to connect with fellow researchers, developers, and creative minds. Whether you have a question about my work, spot a fascinating problem, or just want to discuss the future of AI and cognition, please don't hesitate to reach out. You can find me here:
- Portfolio: msmaryamrezaee.github.io
- Email: [email protected]
- Telegram: @msmrexe