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

Daniel Ratner
Daniel Ratner Initiative Lead

 

ML Steering Committee

 

Ryan Coffee
Audrey Therrien
Apurva Mehta
Kazuhiro Terao
Xiaobiao Huang
Ryan Coffee LCLS Science
Kazuhiro Terao High Energy Physics
Xiaobiao Huang Accelerator

 

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