Google Research

Google Accelerated Science

We are taking advances in machine learning and artificial intelligence and applying them to accelerate progress in natural science: biomedical research, chemistry, and material science.

About the team

Our mission is to produce breakthroughs in the natural sciences by applying Google technologies, including machine learning, iterative prediction/experimentation in large combinatorial spaces, and large scale analysis and computation. We believe these will enable more effective high throughput research in many domains.

Using Google's unique expertise, technology and scale, we collaborate with world-class institutions on challenges with large scientific and humanitarian benefit, working closely with leading scientists who have deep domain expertise and proven experimental infrastructure.

Focus areas

Featured publications

Our work

Some of our people

Some of our current and previous partners


  • Bill & Melinda Gates Foundation
  • New York Stem Cell Foundation Research Institute
  • Jake Baum, Imperial College London
  • Calico
  • Steve Finkbeiner, Gladstone Institutes and the University of California, San Francisco
  • Lee Rubin, Harvard University


  • TAE Systems


  • Anatole von Lilienfeld, Institute of Physical Chemistry and National Center for Computational Design and Discovery of Novel Materials (MARVEL), Department of Chemistry, University of Basel, Switzerland
  • Vijay Pande, Stanford University


  • John Gregoire, California Institute of Technology and Joint Center for Artificial Photosynthesis
  • Jonathan Fan, Stanford University
Join us

We're looking for talented people to join our team