INTERNATIONAL STUDENT AI LAB
A little light.
A deeper understanding.
We reframe AI problems through deep mathematics.
Open to collaborators across disciplines and borders.
Mathematics first.
Possibilities beyond.
The mathematics of learning
Theory of deep learning · Geometry · Optimal transport
↗02Intelligence in the physical world
Computer vision · Robotics · Control
↗03Learning systems, under scrutiny
LLM evaluation · AI infrastructure · Efficient inference
↗04Mathematics into decisions
Scientific ML · PINNs · Financial AI
↗Ideas, made
precise.
All publications ↗Multi-Fidelity Robotic Co-Design via the Refinement Limit
RSS 2026 Lab-to-Production Workshop: Toward Industrial-Grade Perception and Manipulation
Optimal Stopping via Martingale Rainbow Deep Q-Learning: Risk-Sensitive Financial Decision-Making
ICAIF 2025 AI Meets Quantitative Finance Workshop
Different disciplines.
Shared curiosity.
An international student team connecting mathematics, learning systems, and the physical world. We welcome new collaborators.
Gordei Verbii
↗Head of lab
Reframing AI problems through deep mathematics
Kirill Bunin
↗Researcher
Computer vision · Robotics
Ilya Starikov
↗Researcher
Optimization · PINNs · Financial AI · Robotics
Nauan Darkhan
↗Researcher
LLM evaluation · AI infrastructure · Robotics