Computational Biology Research

Modeling life at scale — through generative biology, protein folding, and AI-powered systems biology.

Reprogramming Biology with Intelligence

Our biology research aims to accelerate understanding of living systems by integrating large-scale data with machine learning. From predicting protein structures to modeling disease progression, we develop tools that transform biotech, healthcare, and beyond.

We collaborate with academic labs, hospitals, and pharmaceutical partners to ensure real-world impact and scientific rigor.

Key Research Domains

Protein Folding

We use deep networks to predict 3D protein structures, helping unlock drug targets and genetic insights.

Genomic Modeling

Our models analyze and simulate gene circuits, epigenetics, and regulatory elements with cell-level precision.

Molecular Generative Models

Diffusion and transformer-based systems that generate novel compounds, enzymes, and biologics.

Systems Biology

Multi-scale models that simulate organ-level behavior, disease mechanisms, and treatment responses.

Biomedical NLP

Extracting structured data from biomedical literature to accelerate knowledge synthesis and discovery.

AI in Healthcare

Building clinical-grade models for diagnostics, pathology, and personalized treatment strategies.

Transform life science with AI.

Join our interdisciplinary team — spanning machine learning, molecular biology, medicine, and computational science.