Dr. Zongwu Cai, University of Kansas

Dr. Zongwu Cai is The Charles Oswald Distinguished Professor of Econometrics and Professor of Economics at Department of Economics at The University of Kansas, USA. Dr. Cai earned his Bachelor degree in mathematics from China University of Geosciences at Wuhan in 1982, the Master degree in statistics from Zhejiang University in 1988 and the Ph.D. in statistics from University of California at Davis, USA in 1995. Dr. Cai is the Fellow of the American Statistical Association and the fellow of the economics journal Journal of Econometrics. He was the president of the Chinese Economists Society (2018-2019). Also, he is serving and served as the Associate Editor and the member of the editorial board for several international journals, including but not limit to, Journal of Business and Economic Statistics. Dr. Cai is extensively recognized internationally for his professional and academic achievements, and he has published about 130 papers in international journals, including many top journals in economics and statistics as well as finance.

Homepage: https://economics.ku.edu/people/facultycai

Dr. Jianqiang Hu, Fudan University

Dr. Jian-Qiang Hu is the Distinguished Professor of Fudan University and the Hongyi Professor of Management Science in School of Management, Fudan University.  He received his B.S. degree in applied mathematics from Fudan University, China, and M.S. and Ph.D. degrees in applied mathematics from Harvard University. His research interests include discrete-event stochastic systems, simulation, stochastic optimization, with applications in supply chain management, financial engineering, and healthcare.  He has published over 100 research papers in major peer-reviewed journals, including Management Science, Operation Research, IEEE Transactions on Automatic Control, IEEE Transactions on Communications, INFORMS Journal on Computing, and Journals of Time Series Analysis, and is a co-author of the book, Conditional Monte Carlo: Gradient Estimation and Optimization Applications (Kluwer Academic Publishers, 1997).  He won the Outstanding Simulation Publication Award from INFORMS Simulation Society twice (1998, 2019) and the Outstanding Research Award from Operations Research Society of China in 2020.  He has been on editorial board of Automatica, Operation Research, IIE Transaction on Design and Manufacturing, and Journal of the Operations Research Society of China.

Homepage:https://www.fdsm.fudan.edu.cn/en/aboutus/ShowNews.aspx?InfoGuid=19b65844-386c-4d06-aa42-137f52036a7f

Dr. Tetsuya Kaji is an Assistant Professor of Econometrics and Statistics at the University of Chicago Booth School of Business. He received his Ph.D. in Economics and Statistics from the Massachusetts Institute of Technology in 2018. He works at the intersections of economics, statistics, and machine learning. He has published his works in major peer-reviewed journals, including Econometrica, Journal of the American Statistical Association, and Journal of Machine Learning Research.

Homepage: https://www.chicagobooth.edu/faculty/directory/k/tetsuya-kaji

Dr. Toru Kitagawa, Brown University

Toru Kitagawa is a Professor of Economics at Brown University. His research and teaching interests include econometrics, causal inference, statistical decision theory, Bayesian analysis, applied microeconomics, empirical macroeconomics, and experimental economics. He has published his works in major peer-reviewed journals in economics including Econometrica, Quarterly Journal of Economics, Journal of Econometrics, Quantitative Economics, and Journal of Business Economics and Statistics. He served as a board member of the Review of Economic Studies and an associate editor for Journal of Econometrics, and has been an associate editor of Journal of Business Economics and Statistics, Journal of Econometric Methods, and Japanese Economic Review. In 2024, he won the inaugural Haavelmo prize for a best econometrics paper published in Econometrica in the past 4 years. In 2023, Prof. Kitagawa was awarded the Nakahara prize, an award given to best Japanese economist under the age of 45. Before joining Brown in 2021, he was Professor of Economics at University College London. He is affiliated as Research Staff at Center for Microeconometrics Methods and Practice (Cemmap), Research Fellow at Institute for Fiscal Studies (IFS), and Researcher at Yale Research Initiative on Innovation and Scale (Y-RISE). He holds Ph.D and M.A both in Economics from Brown University and B.A. in Engineering from the University of Tokyo.

Homepage: https://vivo.brown.edu/display/tkitagaw

Dr. Morten Ørregaard Nielsen, Aarhus University

Dr. Morten Ørregaard Nielsen is a Professor of Economics and holds a DNRF Chair at Aarhus University. He received his Ph.D. in Economics from Aarhus University in 2003. His research area is econometric theory with a particular focus on bootstrap methods, cluster-robust inference, and time series. Dr. Nielsen is a co-editor of Journal of Time Series Analysis and associate editor of Econometric Theory and Journal of Econometrics. He is also a fellow of the International Association of Applied Econometrics and a fellow of the Journal of Econometrics. He has published more than 65 peer-reviewed articles in Econometrica, Journal of the American Statistical Association, Journal of Econometrics, Econometric Theory, Journal of Business and Economic Statistics, and many other journals. 

Homepage: https://sites.google.com/view/mortennielsen/

Dr. Qi-Man Shao, Southern University of Science and Technology

Qi-Man Shao, Chair Professor at Southern University of Science and Technology, China. His main research areas are the limit theory in probability and the asymptotic large sample theory in statistics. He has made fundamental contributions for the self-normalized limit theory and the Stein method for normal and nonnormal approximation. Noticeable honors and professional services include: an invited speaker at the International Congress of Mathematicians (2010); IMS Medallion Lecturer, a Keynote Speaker at the 2011 Joint Statistical Meetings; State National Science Award (2nd class) (2015); co-Editor, The Annals of Applied Probability (1/2022 - 12/2024 ); Associate Editor, Bernoulli (1/2013 - 12/2021 ); Associate Editor, The Annals of Statistics (11/2003 - 12/2012 ).

Homepage: https://www.sustech.edu.cn/en/faculties/shaoqiman.html

Dr. Jun Yu, University of Macau

Prof. Jun Yu is currently UMDF Chair Professor of Finance and Economics and Dean of Faculty of Business Administration at the University of Macau. He received his Ph.D. in Economics from University of Western Ontario in 1998. His primary research interests are financial econometrics, econometric theory, and empirical asset pricing. He provides editorial service for Journal of Econometrics and Econometric Theory. He was awarded Fellow of Journal of Econometrics in 2011, Inaugural Fellow of Society of Financial Econometrics (SoFiE) in 2012. His work has appeared in Journal of Econometrics, International Economic Review, Review of Financial Studies, Quantitative Economics, Econometric Theory, Journal of Business & Economic Statistics, Management Science etc.

Homepage: https://fba.um.edu.mo/faculty/junyu/

Dr. Shuangjian Zhang, Fudan University

Dr. Shuangjian Zhang is a Young Investigator (tenure-track Professor) at the School of Mathematical Sciences at Fudan University. He received his Ph.D. from the Department of Mathematics, University of Toronto, in 2018. His main research interests are optimal transport and its applications in economics, finance, machine learning, and statistics; and convex analysis, duality, and optimization. He has published his works in major peer-reviewed journals, including the Journal of Mathematical Economics, Economic Theory, and Proceedings of Machine Learning Research.

Homepage: http://zhang.kelvin.shuangjian.info