This is Jeff J. Yao: welcome!

Education

1999 H.d.R (Habilitation À Diriger les Recherches), Université of Paris I Panthéon-Sorbonne
1990 Ph. D (Applied Mathematics), Université Paris-Sud Orsay (now Université Paris-Saclay)
1986 Master (D.E.A., Statistics), Université Paris-Sud Orsay (now Université Paris-Saclay)
1984 Bachelor (Applied Mathematics), Université Paris-Sud Orsay (now Paris-Saclay)

Since 2022: Presidential Chair Professor, School of Data Science, The Chinese University of Hong Kong (Shenzhen)
2015 –2022: Professor of Statistics, The University of Hong Kong
2011 – 2014: Associate Professor of Statistics, The University of Hong Kong
2009 – 2010: Professor in Applied Mathematics (first class), Université de Rennes 1
2000 – 2008: Professor in Applied Mathematics (2nd class), Université de Rennes 1
2003 – 2004: Senior Research Fellow, INRIA Bretagne Atlantique
1990 – 1999: Maı̂tre de Conférence of Mathematics, Université de Paris 1
1989 – 1995: R & D, SUDIMAGE
1989 – 1990: Postdoctoral Research Fellow, École Normale Supérieure, Paris

2019- : Associate Editor, Journal of Multivariate Analysis.
2011- : Associate Editor, Random Matrices: Theory and Applications
2012- : Associate Editor, ESAIM: Proceedings.
2018-2019 : Associate Editor, Computational Statistics and Data Analysis.
2013-2015: Associate Editor, Bernoulli (official journal of the Bernoulli Society)

(PI) RGC General Research Fund 17308821 (2021/2022), “Spectral analysis of large dis-
tance covariance matrices and applications”, HK$538,015
(PI) RGC General Research Fund 17308920 (2020/2021), “Spectral analysis of large dis-
tance covariance matrices and applications”, HK$599,861
(PI) RGC General Research Fund 17307319 (2019/2020), “ Large-dimensional limits of
eigenvalues of a generalized Wishart process with application to multivariate volatility
modeling”, HK$753,667
(PI) RGC General Research Fund 17306918 (2018/2019), “Central limit theorems for
linear statistics of a general Wigner matrix with heterogeneous fourth moments and
application”, HK$456,452
(PI) RGC General Research Fund 17332416 (2016/2017), “Heavy-tailed large sample
covariance matrices and applications”, HK$488,501
(PI) RGC General Research Fund 17305814 (2014/2015), “Test of dependence between
a large set and a small set of variables”, HK$351,756
(PI) RGC General Research Fund 705413P (2013/2014), “Inference for high-dimensional
factor models”, HK$592,987
(Co-PI) RGC PROCORE – France/Hong Kong Joint Research Scheme F-HK710/13C (2013/2014),
Workshop on “Random Matrices and Their Applications”), HK$142,200
(Co-PI) French CNRS Research Council and Chinese NSF Joint Grant for Summer School
(2011), “Random Matrix Theory and Applications in High-dimensional Statistics”, Euro 70,000