Qin Gao

Qin Gao

Ph.D. candidate in theoretical Physics
M.S. student in Machine Learning
Carnegie Mellon University

Physics Machine Learning

Short CV

Research Interests


My primary research interests include theoretical study of solid surface and interface, and novel machine learning algorithms for condensed matter physics.

Education


Ph.D. in Physics, Carnegie Mellon University Jan. 2016 expected
M.S. in Machine Learning, Carnegie Mellon University May 2015 expected
M.A. in Physics, City University of New York 2011
B.S. in Physics, University of Science and Technology of China 2009
Exchange student, National Taiwan University Fall 2007

Honors and Awards


McWilliams Fellowship, Carnegie Mellon University (only 2 in Mellon College) 2014
NSF Travel Award, National Science Foundation 2013
CUNY Science Scholarship, City University of New York 2010
Outstanding Student Scholarship, USTC 2006-2009
Exchange Student Scholarship, National Taiwan University 2007
First Prize in University Electromagnetism Thesis Competition, USTC 2007
Provincial Excellent Student, Hubei Province (1/1800 in high school) 2005

Publications


Available here.

Complete CV


Available here.