People

Pascal Grange

Associate Professor of Mathematics, Duke Kunshan University

Email: pascal.grange@dukekunshan.edu.cn
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A theoretical physicist by training, Pascal Grange is interested in quantitative models of systems with many degrees of freedom. His current field of research is the statistical physics of out-of-equilibrium systems (this class of systems includes living systems). His teaching interests at Duke Kunshan include calculus and probability.

His work has appeared in leading academic journals including Nuclear Physics B, Proceedings of the National Academy of Sciences (PNAS) and Journal of Physics A (Mathematical and Theoretical). Moreover, he has published a textbook (“Mathematical Models of Solids and Fluids”, Liverpool University Press, 2021).

Grange holds a B.Sc. in engineering from Ecole Polytechnique (Paris, France) , an M.Sc. in mathematics from the University of Paris 7 Jussieu and a Ph.D. in theoretical physics from Ecole Polytechnique. He served as a postdoctoral researcher at the Institute for Advanced Study (Princeton, U.S.) and at the University of Hamburg (Germany). He was a quantitative strategist at Goldman Sachs (London, U.K.) before coming back to academic research as a computational scientist at Cold Spring Harbor Laboratory (New York, U.S.). Before joining Duke Kunshan, he was the program director of the B.Sc applied mathematics at Xi’an Jiaotong-Liverpool University (Suzhou, China).

Shi Jin

Director of Institute of Natural Sciences, Chair Professor of Mathematics, Shanghai Jiao Tong University

Email: shijin-m@sjtu.edu.cn
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He obtained his BS degree from Peking University and his Ph.D. from University of Arizona. He was a postdoc at Courant Institute, New York University, an assistant and associate professors at Georgia Institute of Technology, and full professor, department chair and Vilas Distinguished Achievement Professor at University of Wisconsin-Madison, Chair of Department of Mathematics at Shanghai Jiao Tong University. He also serves as a co-director of the Shanghai Center of Applied Mathematics, director of Ministry of Education Key Lab on Scientific and Engineering Computing, and director of Center for Mathematical Foundation of Artificial Intelligence at Shanghai Jiao Tong University. He received a Feng Kang Prize of Scientific Computing in 2001, and a Morningside Silver Medal of Mathematics of International Congress of Chinese Mathematicians in 2017. He is an inaugural Fellow of the American Mathematical Society (AMS) (2012), was elected a Fellow of Society of Industrial and Applied Mathematics (SIAM) (2013), a fellow of the China Society of Industrial and Applied Mathematics (CSIAM) (2020), and an Invited Speaker at the International Congress of Mathematicians in 2018. His research interests include kinetic theory, quantum dynamics, uncertainty quantification, interacting particle systems, computational fluid dynamics, etc. He has published over 180 research articles in journals such as Acta Numerica, Communications in Pure and Applied Mathematics, Journal of Computational Physics, SIAM journals, Archive Rational Mechanics and Analysis, etc.

Shixin Xu

Assistant Professor of Mathematics, Duke Kunshan University

Email: shixin.xu@dukekunshan.edu.cn
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His research interests are machine learning and data-driven model for diseases, multiscale modeling of complex fluids, homogenization theory, and numerical analysis. Xu has a B.Sc. in mathematics (honors) from Ocean University of China and a Ph.D. in mathematics from the University of Science and Technology China. From 2013 to 2017, he held postdoctoral positions at the National University of Singapore, the University of Notre Dame, the University of California, Riverside, and the Fields Institute for Research in Mathematical Sciences, Canada.

Xiaoqian Xu

Assistant Professor of Mathematics, Duke Kunshan University

Email: xiaoqian.xu@dukekunshan.edu.cn
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His research interests are mathematical modeling of mixing in fluids, investigating the properties of solutions to some types of fluid mechanics equations and studying the time-fractional differential equations. His teaching interests at Duke Kunshan include mathematical foundations and advanced courses in pure math. Xu has a B.Sc. in mathematics (honors) from Zhejiang University and a Ph.D. in mathematics from the University of Wisconsin, Madison. From 2016 to 2019, he held postdoctoral research positions at Carnegie Mellon University and the Institute for Computational and Experimental Research in Mathematics, Brown University.

Xin Li

Associate Vice-Chancellor for Graduate Studies and Research, Duke Kunshan University Professor of Electrical and Computer Engineering, Duke Kunshan University Dean of Graduate Studies Associate Dean for Research Director of Institute of Applied Physical Sciences and Engineering Director of Data Science Research Center Director of Master of Engineering Program in Electrical and Computer Engineering, Duke Kunshan University

Email: xinli.ece@duke.edu
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Xin Li received the Ph.D. degree in Electrical & Computer Engineering from Carnegie Mellon University in 2005. He is currently a Professor in the ECE Department at Duke University. He is leading the Institute of Applied Physical Sciences and Engineering and the Data Science Research Center at Duke Kunshan University. His research interests include integrated circuit, signal processing and data analytics. Dr. Li is the Deputy Editor-in-Chief of IEEE TCAD. He was an Associate Editor of IEEE TCAD, IEEE TBME, ACM TODAES, IEEE D&T and IET CPS. He was the General Chair of ISVLSI and FAC. He received the NSF CAREER Award in 2012 and six Best Paper Awards from IEEE TCAD, DAC, ICCAD and ISIC. He is a Fellow of IEEE.

Innovation Building 3033, Duke Kunshan University
No.8 Duke Ave, Kunshan, Jiangsu, China, 215316
Email: DKU-MATH@dukekunshan.edu.cn

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