Daniel Ratner
Head of Machine Learning @SLAC National Accelerator Laboratory
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WORK HISTORY
Head of Machine Learning @SLAC National Accelerator Laboratory
Director of new lab-wide machine learning strategic initiative covering projects in high-energy physics, x-ray science, accelerator physics, and structural biology.
EDUCATION
Stanford University
PhD, Applied Physics
Harvard University
Undergraduate, Physics
ABOUT DANIEL RATNER
I am currently a staff scientist at SLAC National Accelerator Laboratory, where I lead a new lab-wide machine learning strategic initiative. I previously was head of the accelerator machine learning department and co-led the X-ray laser R&D program.In my career, I have worked across diverse fields, including early online advertising, art conservation, accelerator/biological physics, and automatic music transcription. The unifying thread for these topics is a focus on algorithm development, modeling, and data analysis of complex systems. Lately I have worked on machine learning applications for science, with a focus on ghost imaging and compressed sensing.
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