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Lin Lin
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Associate Professor Office: 1083 Evans Hall Email: linlin at math dot berkeley dot edu Webpage: http://math.berkeley.edu/~linlin/ Curriculum Vitae (July 2019) |
News
- October 14-18, 2019, American Institute of Mathematics (AIM) Workshop: Deep learning and partial differential equations
- I co-organize the Applied Math Seminar with Suncica Canic, Di Fang and Per-Olof Persson this year. Please contact any of the organizers if you are interested in giving a talk.
- I organize a Student Applied Math Seminar every semester (a.k.a. 290 seminar), on quantum many-body related topics. Please contact me if you are interested in it.
Position
- Associate Professor, Department of Mathematics, University of California, Berkeley, 2018--
- Faculty Scientist, Computational Research Division, and Center for Advanced Mathematics for Energy Research Applications (CAMERA), Lawrence Berkeley National Laboratory, 2014--present
- Assistant Professor, Department of Mathematics, University of California, Berkeley, 2014--2018
- Research Scientist (Career Track), Computational Research Division, Lawrence Berkeley National Laboratory, 2013--2014
- Luis W. Alvarez Postdoctoral Fellow, Computational Research Division, Lawrence Berkeley National Laboratory, 2011--2013
Education
- Ph.D. Applied Mathematics, Princeton University, 2011
Ph.D. Dissertation: Density functional theory and nuclear quantum effects [.pdf] - B.S. Mathematics, Peking University, 2007
Biosketch
My research focuses on the development of efficient and accurate numerical methods for electronic structure calculations, with broad applications in quantum chemistry, quantum physics and materials science. I am now an associate professor of the Department of Mathematics at UC Berkeley, a faculty scientist at Berkeley Lab’s Mathematics Group within the Computational Research Division, and a mathematician within Berkeley Lab's Center for Advanced Mathematics for Energy Research Applications (CAMERA). I am very fortunate to have received the Sloan Research Fellowship (2015), the National Science Foundation CAREER award (2017), the Department of Energy Early Career award (2017), the (inaugural) SIAM Computational Science and Engineering (CSE) early career award (2017), and the Presidential Early Career Awards for Scientists and Engineers (PECASE) (2019).