Density Functional Theory
Advancing the frontier of quantum chemistry by combining deep learning with Density Functional Theory (DFT) to unlock unprecedented accuracy and scalability in electronic structure simulations. Our mission is to enable predictive modeling of laboratory experiments…
Materials
Using AI to reshape how we design and innovate advanced materials MatterGen is a diffusion model specifically designed for generating stable inorganic materials across the periodic table. Crucially, the model can be fine-tuned to steer…
Biomolecules
Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. BioEmu is a deep learning system that emulates protein equilibrium ensembles by generating thousands of statistically independent…
Small molecules
Bringing scale, speed, and precision to molecular discovery with AI We work on accelerating the discovery of small molecules through AI at all steps of the Design-Make-Test cycle. This includes models to predict molecular properties,…
Psychological influences of AI
The Psychological Influences of AI (Psi) project explores how AI—especially generative AI—affects human psychology, including cognition, emotion, behavior, and well-being. It investigates topics such as trust, dependency, attention, agency, and the psychological impacts of anthropomorphic…
Evaluating the Cultural Relevance of AI Models and Products: Learnings on Maternal Health ASR, Data Augmentation and User Testing Methods
How do we ensure that AI systems are not only technologically advanced but also deeply resonant and beneficial for the specific communities they aim to serve? As AI becomes more integrated into critical sectors like…