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 Initiative Lead
ML Steering Committee
Ryan Coffee LCLS Science
Audrey Therrien LCLS/TID
Apurva Mehta SSRL
Kazuhiro Terao High Energy Physics
Xiaobiao Huang Accelerator
