Hi! I’m a Postdoctoral Researcher at the Max Planck Institute’s Center for Humans and Machines. I’m fascinated by the potential of AI to deepen our understanding of science and society. More recently, I have been diving deeper into LLM-centric research.

Here are some of the questions I’m currently exploring:

• Can we use deep learning to aid scientific discoveries?
  → ICML 2025 — Our first attempt at discovering dualities in statistical physics
  → Nature 2024 (FunSearch) — acknowledged for work on parallel experimentation in combinatorics
  → LMS 2025 — discovered counterexample to Hirsch’s conjecture
• How do cooperative norms emerge in multi-agent systems with competing incentives?
• What impact are LLMs having on the way we speak, persuade, and justify our actions?
  → Signals of Changing Linguistic Preferences — under review; more coming soon
• How might LLMs be used to design effective nudges for climate action?
  → Early results in progress — project details coming soon

I completed my Ph.D. at the University of Oxford, where I developed deep learning approaches for exact combinatorial optimization. My doctoral work was supported by The Alan Turing Institute and advised by Pawan Kumar, Andrea Lodi, and Yoshua Bengio. I was also affiliated with Mila in Montréal.

Outside research, I create open-access educational content in machine learning (see here) and enjoy collaborative, cross-disciplinary work. I stay active through table tennis, swimming, gymnastics, and rowing — and I’m always curious about new ideas through books, stories, and conversations.

Education

Publications

For a complete list of my publications, please visit my Google Scholar profile.

Experience

Professional Activities

Honors & Awards

Skills

Miscellaneous