Hanno Hiss

Hanno Hiss

I'm currently building something new. Previously, I studied at ETH ETH Zurich and MIT MIT, graduating with an MSc in Data Science (minor in Robotics). My thesis was advised by Prof. Martin Vechev at SRI SRI. I've also worked at QuantCo QuantCo on statistical models for insurance companies. Before that I joined Swissloop Swissloop to build vehicle control and sensors for the future of transportation. I've long been drawn to statistical learning and especially reinforcement learning, and I care most about building things that matter. Outside of work, I like running marathons and cooking.

Projects

MSc Thesis: Quality-Ranked Training on Easy Reasoning Problems

Going beyond the RLVR paradigm for training math reasoning models. At SRI, ETH Zurich with Jasper Dekoninck and Prof. Martin Vechev.

RL for PETRA

RL framework for the Petrol Station Replenishment Problem with Arqh.ai.

Meta-learning with LPN

Latent Program Networks for explicit meta-optimization, inspired by ARC-AGI.

DeepPoly

Certifying neural networks for Reliable and Trustworthy AI, ETH Zurich.

MARL on Gigastep

Recurrent PPO in JAX for multi-agent RL. Research at MIT, Prof. Daniela Rus' lab.