An AI system to help scientists write expert-level empirical software

These authors contributed equally: Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici, Marc Coram, Hao Cui, Jake Garrison, Renee Johnston, Anton Kast, Cory Y. McLean, Peter Norgaard, Zahra Shamsi, David Smalling, James Thompson, Subhashini Venugopalan, Brian P. Williams Google DeepMind, Montréal, Quebec, Canada Eser Aygün, Gheorghe Comanici, David Smalling, Anna Bulanova & Shibl Mourad Google Research, Cambridge, MA, USA Anastasiya Belyaeva, Marc Coram, Hao Cui, Renee Johnston, Anton Kast, Cory Y. McLean, Peter Norgaard, Zahra Shamsi, James Thompson, Subhashini Venugopalan, Brian P. Williams, Chujun He, Sarah Martinson, Martyna Plomecka, Lai Wei, Yuchen Zhou, Qian-Ze Zhu, Matthew Abraham, Erica Brand, Jeffrey A. Cardille, Chris Co, Scott Ellsworth, Grace Joseph, Malcolm Kane, Ryan Krueger, Johan Kartiwa, Dan Liebling, Jan-Matthis Lueckmann, Paul Raccuglia, Xuefei Julie Wang, Katherine Chou, James Manyika, Yossi Matias, John C. Platt, Lizzie Dorfman & Michael P. Brenner Google Platforms and Devices, Mountain View, CA, USA Jake Garrison Massachusetts Institute of Technology, Cambridge, MA, USA Chujun He School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA Sarah Martinson, Qian-Ze Zhu, Ryan Krueger & Michael P. Brenner Google DeepMind, New York, New York, USA Martyna Plomecka Faculty of Agricultural and Environmental Sciences, McGill University, Montréal, Quebec, Canada Jeffrey A. …