GDS Virtual March Meeting Session #8
Dear GDS Members,
Topical Group on Data Science is hosting its 8th webinar on Friday, May 1, 2020. Please register and join us for another exciting webinar at the intersection of machine learning and physics: Session 8 Registration
- 4:00 - 4:05 pm ET | Welcome!
- 4:05 - 5:05 pm ET | Sergei V. Kalinin - Machine Learning Beyond Correlative Models: Bayesianity, Parsimony, Causality, and Automated Experiment
About Sergei V. Kalinin: Sergei Kalinin is a distinguished staff member at the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory. He received his MS degree from Moscow State University in 1998 and Ph.D. from the University of Pennsylvania (with Dawn Bonnell) in 2002. His research presently focuses on the applications of big data and artificial intelligence methods in atomically resolved imaging by scanning transmission electron microscopy and scanning probes for applications including physics discovery and atomic fabrication, as well as mesoscopic studies of electrochemical, ferroelectric, and transport phenomena via scanning probe microscopy. Sergei has co-authored >650 publications, with a total citation of >32,000 and an h-index of >88. He is a fellow of MRS, APS, IoP, IEEE, Foresight Institute, and AVS; a recipient of the Blavatnik Award for Physical Sciences (2018), RMS medal for Scanning Probe Microscopy (2015), Presidential Early Career Award for Scientists and Engineers (PECASE) (2009); Burton medal of Microscopy Society of America (2010); 4 R&D100 Awards (2008, 2010, 2016, and 2018); and a number of other distinctions.
We understand this time may not work for all time zones, but please register even if you are not able to attend. We will record the talks (when possible) and send you a link after the session. You may find the recording to our past webinars on this playlist.