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.