About Me

I’m a scientist and entrepreneur typically found at the crossroads of physics, AI, and biology. Previously, I co-founded Unlearn.AI to revolutionize medicine by creating digital twins of patients. I’ve also worked at Pfizer, Leap Motion, and held research roles in Paris and Boston. Author of The Relentless Startup: A Handbook for Hardcore Entrepreneurs.

The Relentless Startup is a guide for founders who want to build revolutionary companies. Unlike wimpy leadership trends that advocate for consensus-building and work-life balance, The Relentless Startup embraces conflict as fuel for innovation and teaches founders how to:

  • Build their company around their unique strengths rather than trying to become a "traditional CEO"

  • Create an intense culture that attracts A-players

  • Make rapid decisions and maintain extreme focus while scaling

  • Stay deep in the details of their areas of expertise even as their company grows

This book is contains nearly 8 years of hard earned wisdom on company building. You can buy it on Amazon. All royalties donated to charity.

Quick Facts

CV

[2004-2008]: BS in Biophysics from the University of Michigan.

[2008-2012]: PhD in Biophysics from Harvard University.

[2012-2014]: Postdoc in Physics at Boston University.

[2014 -2015]: Philippe Meyer Fellow in Theoretical Physics at ENS in Paris.

[2015-2016]: Computational Biologist at Pfizer.

[2016-2017]: Machine Learning Engineer at Leap Motion.

[2017-2024]: Founder and CEO at Unlearn.AI.

[2024-2024 ]: Chief Scientist at Unlearn.AI.

[ Current ]: Board Member at Unlearn.AI

Unlearn

Started Unlearn.AI in 2017 with Aaron Smith, Graham Siegel, and Jon Walsh. Unlearn is advancing AI to eliminate trial and error in medicine. Unlearn invents machine learning algorithms for creating digital twins of individual patients that forecast their health, and develops applications of these digital twins to accelerate medical research. While I was CEO, Unlearn raised $135M in venture capital and received the first regulatory qualification for an AI-based drug development tool.

Selected Research

Physics for machine learning.

Physics and machine learning for biology.

Miscellaneous.

More on my Google Scholar.