Hi! I am a researcher who is fascinated by the intersection between physics, complex systems, and machine learning / artificial intelligence (ML/AI). I’ve been working on ML/AI based approaches to aid modeling and control of particle accelerator systems since starting my graduate studies on that topic in 2012. I’m now an Associate Scientist and Panofsky Fellow at SLAC National Accelerator Laboratory, and I am the ML/AI Department Head in the Accelerator Research Division.
I’m also passionate about education / outreach and community-driven open-source software development. I have been active in educating the particle accelerator community about machine learning through lectures, workshops and tutorial sessions on ML/AI for accelerators, and teaching at the U.S. Particle Accelerator School.
Selected Talks
2020
Steps Toward Holistic Control of Particle Accelerators Using Neural Networks
NERSC Data Seminar, September 2020
video
Pushing the Boundaries of Accelerator Operation with Machine Learning
SLAC Seminar, Menlo Park, CA, February 2020
video slides
2019
Controlling Accelerators with Machine Learning
SLAC Public Lecture, Menlo Park, CA, October 2019
video
Demonstrations of Machine Learning on Particle Accelerators
North American Particle Accelerator Conference, Lansing, Michigan, September 2019
slides
Demonstrations of Machine Learning on Particle Accelerators
Fast Machine Learning Workshop, Fermilab, Batavia, IL, September 2019
slides
Faster, More Accurate Particle Accelerator Models using Machine Learning
2nd ICFA Workshop on Machine Learning for Particle Accelerators, Paul Scherrer Institut, Switzerland, February 2019
slides
2018
Neural Networks for Modeling and Control of Particle Accelerators
61st ICFA Workshop on High-Intensity and High-Brightness Hadron Beams, Daejeon, Korea, June 2018
Neural Networks for Modeling and Control of Particle Accelerators
International Particle Accelerator Conference, Vancouver, Canada, May 2018
slides
First ICFA Workshop on Machine Learning for Particle Accelerators, SLAC, February 2018
slides
Neural Network Approaches to Modeling and Control of Particle Accelerators
Intelligent Controls For Particle Accelerators Workshop Daresbury Lab, UK, January 2018
2017
Using Neural Network Control Policies For Rapid Switching Between Beam Parameters in a Free Electron Laser
NeurIPS Deep Learning for the Physical Sciences Workshop, Long Beach, CA, December 2017
slides paper video
Exploratory Studies in Neural Network-based Modeling and Control of Particle Accelerators
SLAC AI Seminar, Menlo Park, CA, August 2017
slides
Applications of Neural Networks to Modeling and Control of Particle Accelerators
Fermilab Accelerator Physics and Technology Seminar, Batavia, IL, June 2017
slides
Education
2012-2017, Colorado State University
Ph.D. Accelerator Physics / Electrical Engineering
Dissertation: Neural Networks for Modeling and Control of Particle Accelerators (pdf)
2006-2010, Rensselaer Polytechnic Institute
B.S. Physics
Minors in Sociology; Psychology; Science, Technology, and Society