TWIMLfest 2020


AI and ML in Physics: Research, Education, and Career

This session aims to connect and advocate for physicists involved in data science. We will be discussing cutting-edge data science applications in physics research, data science education approaches in the physics curriculum, as well as how physicists with AI/ML experience can transfer their skill sets to careers in industry. We also hope this session can help connect physicists interested in data science, as well as data scientists curious about physics applications.

We intend to invite 2-3 speakers to discuss ML applications in the physics domain. The speakers will be then convened for a panel discussion around the adoption and application of AI and ML methods in physics research, as well as elements of data science in physics education. The intended audience will be primarily physics students and researchers. In addition, ML developers can also get introduced to the cutting-edge topics at the interface of AI/ML and physics.

Session Speakers

Staff Physicist
NIST Center for Neutron Research
Rensselaer Polytechnic Institute
Associate Principal Scietist
Merck & Co., Inc.
Director of Machine Learning

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