Hans Farrell Soegeng

Hi, I'm Hans! I am a second-year Mathematics PhD student in the SYLLAB group at Nanyang Technological University (NTU) Singapore, advised by Professor Thomas Peyrin. My research is supported by the Provost Graduate Award by the NTU School of Physical and Mathematical Sciences (SPMS). Previously, I earned my B.S. in Mathematics at NTU.

My research falls broadly at the intersection of interpretable ML and efficient ML. I focus on designing ML architectures that can be fully converted into human-understandable rules where the model's exact inference mechanism is reproducible, and minimizing the size of the rules or model to make the rules more understandable and inference cheaper. I like to work with simpler and smaller models that work and build fundamental things from first principles.

Beyond machine learning, I am interested in quantitative finance, specifically market microstructure and the role of market makers in providing liquidity across different asset classes, beyond traditional finance such as perpetual DEXs (Hyperliquid) and prediction markets . This summer, I'll be joining Optiver as a Quantitative Researcher Intern.

I commercially deploy the ML models I developed at TT-logic.ai, a deep-tech startup founded by my advisor and backed by NTUitive (the VC arm of NTU). I previously interned at Micron in the Capital Planning team.

Feel free to reach out for collaborations or just a chat.