Contact Us!

We have rich research opportunities to apply all kinds of machine learning techniques to high quality data and make a significant impact in science. We welcome researchers from outside SLAC, both from academic institutions and industrial companies, to form research collaborations. For students, we have research opportunities at the intersection of machine learning and physics. Contact anyone in the list below to discover opportunities for physics and machine learning research at SLAC. 


ML-at-SLAC Initiative

Aashwin Mishra
Youssef Nashed
Sara Miskovich
Kara Ponder
Daniel Ratner
Aashwin Mishra Project Scientist
Youssef Nashed Associate Scientist
Sara Miskovich Research Associate
Kara Ponder Research Associate
Daniel Ratner Initiative Lead


ML Steering Committee


Ryan Coffee
Apurva Mehta
Kazuhiro Terao
Ryan Coffee LCLS Science
Kazuhiro Terao High Energy Physics


Lisa Kaufman
Jana B. Thayer
Mariano Trigo
Lisa Kaufman Nuclear Physics
Jana B. Thayer LCLS Data Systems
Mariano Trigo Energy Science