Raphaël John Lamarre Townshend

Raphaël John Lamarre Townshend

Founder & CEO

Atomic AI


Raphaël is the founder and CEO of Atomic AI (we are hiring!), an artificial intelligence-driven startup developing the cutting-edge fusion of machine learning and structural biology to unlock RNA drug discovery. He studied his PhD in the Stanford AI Lab, and his areas of focus include machine learning, RNA and structural biology, high performance computing, and computer vision. More broadly, he is interested in connecting the worlds of biology and computation in novel ways.

  • Machine Learning
  • Structural Biology
  • RNA Biology
  • High Performance Computing
  • Computer Vision
  • PhD in Computer Science, 2014-2020

    Stanford University

  • BS in Electrical Engineering and Computer Science, 2010-2014

    University of California, Berkeley


Founder & CEO
May 2021 – Present California
Using AI to enable the rational design of new molecules and medicines. We are hiring!
Research Scientist Intern
Jun 2019 – Nov 2019 London
Pursued new research in artificial intelligence and structural biology on the Science: AlphaFold team.
Head TA - CS229
Sep 2018 – Dec 2018 California
Led teaching staff of 30 in instructing over 750 students in Stanford’s machine learning course. Designed and lectured new course material.
PhD Fellow
Sep 2014 – Oct 2020 California
Thesis: Geometric Learning of Biomolecular Structure. Lead research group at the intersection of machine learning and structural biology.
Software Engineering Intern
Jun 2014 – Sep 2014 California
Knowledge: Search team.
Undergraduate Student Instructor
Jun 2012 – Aug 2012 California
Taught Machine Structures course to section and lab of 30 undergraduates. Guest lectured on MapReduce to class of 100.
Undergradute Research Assistant
May 2012 – Jun 2014 California
Computer vision for large-scale geolocation.
Root Staff Member and Director
Aug 2011 – Jun 2014 California
Volunteer high-level administrator for computing facility with over 7000 active student users.



Forbes 30 under 30
Listed on Forbes 30 under 30.
General Chair of Machine Learning for Structural Biology
Proposed and led inaugural workshop at premiere machine learning conference.
Science Graduate Student Research Fellowship
To pursue large-scale machine learning on biomolecules.
Graduate Research Fellowship
Supports outstanding graduate students in science.
School of Engineering Fellowship
Offered to top entering PhD students.
ACM international Collegiate Programming Contest
Placed on ACM ICPC team.
Honors Degree Program
Concentration in Statistical Learning.
Eta Kappa Nu
Elected to Undegraduate Honors Society.


A Review of Science
Ascertaining whether we are done with Science
Port forwarding on compute clusters. Useful for the likes of Jupyter Notebooks, Tensorboard…
Pool augmented with computer vision, LIDAR, and lasers.
Building Detection
Finding buildings in satellite imagery.
Expression Recognition
Classification of facial expressions.
Homebrew IMU USB device for 6-DOF control.
3D multiplayer space flight simulator.