Follow the people behind the ideas.

Miles Wang

Corresponding author, FrontierScience

Bowen Baker

Corresponding author, Monitoring Monitorability

Karan Singhal

Corresponding author, HealthBench Professional

Subhash Kantamneni

Senior and corresponding author, cybersecurity incident alignment assessment

Saffron Huang

Research author on model values and AI economics

Roshan Sumbaly

Director of AI, Llama

Candace Ross

Research Scientist, FAIR

Demis Hassabis

Co-founder and CEO

Laura Graesser

Co-author, Gemini Robotics-ER 1.6 launch

Arthur Mensch

Chief Executive Officer and publication director

Manolis Kellis

Professor of Computer Science; principal investigator in computational biology at MIT CSAIL

Computational genomics, gene regulation, epigenomics, and AI-supported interpretation of biological data.

Olga G. Troyanskaya

Maduraperuma/Khot Professor of Computer Science; Director of Princeton Precision Health

Computational genomics, biological networks, precision health, and machine learning for functional interpretation.

Miles Cranmer

Assistant Professor in Data Intensive Science, Department of Applied Mathematics and Theoretical Physics and Institute of Astronomy

Interpretable machine learning, symbolic regression, and scientific discovery across physics and astronomy.

Jesse Thaler

William and Emma Rogers Professor of Physics; Director, Laboratory for Nuclear Science

Theoretical particle physics and machine learning for fundamental physics, including collider analysis.

Roxana Daneshjou

Assistant Professor of Biomedical Data Science and Dermatology, and by courtesy of Radiology

Fairness, transparency, dataset diversity, and evaluation of AI in dermatology and medicine.

Philipp Tschandl

Associate Professor and Principal Investigator, Applied AI Research in Dermatology

Dermatologic image analysis, human-AI collaboration, public benchmarks, and clinical evaluation.