Discover Latent Biology with Mechanistic Reinforcement Learning
Uncover novel biological insights with our GReinSS approach.
Beyond Representations, Directly Learning Hidden Biological States
Machine learning (AI) shows great promise in theory but often fails to deliver sufficient impact on real-world biological problems. While existing machine learning techniques learn artificial continuous representations of the data, at ReinBio, we focus on directly modeling discrete mechanistic biological states of interest through biologically grounded generative models.
Publications
S Ivanovic, G Liu, M El-Kebir
ICML 2026
S Ivanovic, M El-Kebir
Genome Biology 2025
S Ivanovic, M El-Kebir
Genome Research 2023