Bio

Jianxin Pan is Professor of Statistics in the School of Mathematics, The University of Manchester. He received his BSc in Mathematics from Yunnan University of China in 1983, MSc in Statistics from Chinese Academy of Sciences in 1987 and PhD in Statistics from Hong Kong Baptist University in 1996. He was a PDRA at the Rothamsted Experiment Station from 1996 to 1999 and Research Associate at The University of St Andrews from 1999 to 2000. Jianxin Pan was appointed as a Lecturer by Keele University from 2000 to 2002 and by University of Manchester in 2002. He was promoted to Senior Lecturer in 2004 and Reader in 2005.

Since August 2006, Jianxin Pan has been a full Professor of Statistics at The University of Manchester. He was the Head of the Probability and Statistics Group in the School of Mathematics (2009-2012), Fellow of the Royal Statistical Society (2007-) and Elected Member of the International Statistical Institute (2007-). He is currently an Associate Editor for Biometrics (2008-) and Biometrical Journal (2016-).

Research interests

Professor Jianxin Pan has long-standing research interests in statistical modelling for complex and challenging data arising from health and medicine. He is particularly interested in modelling for longitudinal data, survival data, competing risk data, multistate event data, missing data, measurement error data, spatial data and high-dimensional data with complex structures. He has had research collaborations with academic clinicians on many diseases including cardiovascular disease, traumatic brain injury, arthritis, diabetes, HIV and cancer.

His research outcomes were published in high impacted journals in both statistics and medicine. He had research funding supports from various research councils including EPSRC, MRC, NIHR, NERC and EU. Jianxin Pan has recently been developing research interests in data-centric engineering, involving measuring the uniformity or non-uniformity of mixture for different metal materials and determining the time to uniformity, among others.