People

Myung-Joong Hwang

Assistant Professor of Physics, Duke Kunshan University

Email: myungjoong.hwang@dukekunshan.edu.cn

His research focuses on understanding quantum nature of light and matter and developing ways to harness them for next generation quantum technologies including quantum computing. His teaching interests at Duke Kunshan include integrated science and advanced physics. Hwang has a B.Sc. and a Ph.D in physics from Pohang University of Science and Technology, South Korea. Before joining Duke Kunshan, he was a postdoctoral researcher at the Institute of Theoretical Physics at Ulm University, Germany.

Pascal Grange

Associate Professor of Mathematics, Duke Kunshan University

Email: pascal.grange@dukekunshan.edu.cn

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).

Pengzhan Guo

Assistant Professor of Data Science, Duke Kunshan University

Email: pengzhan.guo@dukekunshan.edu.cn

Pengzhan Guo’s research project covers methodology and applications in machine learning and data mining. He is especially interested in parallel computing, human resource management and mobile computing.His teaching interests at Duke Kunshan include linear algebra and machine learning. He has published papers in refereed journals and conference proceedings such as IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Intelligent Systems and Technology (TIST), and the IEEE International Conference on Data Mining (ICDM). He has obtained many awards including the TMC-21 Best Paper Award and ICDM-2019 Student Travel Award.He received his master’s and Ph.D. degrees in applied mathematics and statistics from Stony Brook University.

Shi Jin

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

Email: shijin-m@sjtu.edu.cn

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

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.