Lin Lin
()
Professor Office: 817 Evans HallPhone: 510-664-7189 Office hour : By appointmentEmail: linlin at math dot berkeley dot eduCurriculum Vitae (June 2023) |

## News

- Learning by teaching in Oberwolfach! See Arbeitsgemeinschaft: Quantum Signal Processing and Nonlinear Fourier Analysis and poster (co-organized with András Gilyén and Christoph Thiele, deadline of application: 6/1/2024. Oberwolfach has a first come, first serve policy and please apply soon)
- I am teaching a topic course on Quantum algorithms for scientific computation in Spring 2024. Please check the link for the course information and the enrollment procedure.
- I apologize for being unable to respond to emails regarding potential
**PhD supervision inquiries**. I typically mentor one to two PhD students each year, on subjects broadly related to computational quantum many-body problems (which includes quantum computation). Your Bachelor's degree does not need to be in Mathematics. However, please make sure that you will be comfortable to take our prelim exam after being admitted to the program. If you are interested, please apply to our graduate program directly. - I am no longer serving as a faculty advisor responsible for approving applied math clusters or courses required for the applied math major for undergraduate students.

Please refer to the current list of faculty advisors. - I organize a Quantum Many-Body Seminar every semester (a.k.a. 290 seminar). Please contact the ``Moderator'' if you are interested in participation or giving a talk (see the link for more detailed information).
- UC Berkeley / LBNL joint Applied Math Seminar.

## Openings

If you are interested in joining the group, please find the information here.

## Biosketch

*I aspire to be a Quantum Chemist in disguise in the Department of Mathematics.*

I am a Professor in the Department of Mathematics at UC Berkeley, and a Faculty Scientist in the Mathematics Group at Lawrence Berkeley National Laboratory. My research focuses on solving quantum many-body problems by employing both classical and contemporary methods. These techniques prove valuable across various domains, including quantum chemistry, quantum physics, materials science, and quantum information theory. 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), the Presidential Early Career Awards for Scientists and Engineers (PECASE) (2019), the ACM Gordon Bell prize (Team) (2020), and the Simons Investigator in Mathematics award (2021).

## Books and lecture notes

- A Mathematical Introduction to Electronic Structure Theory (SIAM book)
- Lecture notes on Quantum Algorithms for Scientific Computation I am teaching this course again in Spring 2024.

## Education

- Ph.D. Applied Mathematics, Princeton University, 2011

Advisors: Professor Weinan E (Mathematics), Professor Roberto Car (Chemistry and Physics)

Ph.D. Dissertation: Density functional theory and nuclear quantum effects [.pdf] - B.S. Mathematics, Peking University, 2007

## Position

- Assistant, Associate, and Full Professor, Department of Mathematics, University of California, Berkeley, 2014, 2018, 2022--present
- Faculty Scientist, Applied Mathematics and Computational Research Division, and Center for Advanced Mathematics for Energy Research Applications (CAMERA), Lawrence Berkeley National Laboratory, 2014--present
- 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

## Links

- Department of Mathematics, UC Berkeley
- Computational Research Division, Lawrence Berkeley National Laboratory
- Center for Advanced Mathematics for Energy Research Applications (CAMERA)
- NSF Challenge Institute for Quantum Computation
- The Program in Applied and Computational Mathematics, Princeton
- MathSciNet
- Mathematics Genealogy