01 / Our team
Diverse disciplines meet to build digital life
Computational biology, machine learning, single-cell science, drug discovery and engineering flow into one model.
- 01Computational biology
- 02Machine learning
- 03Single-cell science
- 04Drug discovery
- 05Product engineering
Diverse Disciplines
TRACK RECORD
Bridging fundamental science and drug discovery through AI
From foundation models to precision medicine: deep roots across AI, life science and drug discovery.
Earlier work from our team appeared in leading journals in the life sciences, computational methods and their applications.
- Nature Methods
- Nature Machine Intelligence
- Nature Computational Science
- Cancer Cell
- Cancer Research
- Genome Biology
- Genome Medicine
Since the lab stage, our team has worked closely with leading pharma and CROs in China and abroad.
HOW WE WORK
Connecting the digital, living and physical worlds
We aim to move therapy discovery from molecular modeling to cell states and on to complex living systems, understanding and simulating them in silico, validating in the lab and feeding the results back into the model.
- 01
Digital world
Simulate state shifts under perturbation; identify effective interventions.
- 02
Living world
Model life across modalities and scales, from molecules to organisms.
- 03
Physical world
Validate candidates in wet-lab experiments; results flow back into the model.