Statistical Sciences Research Institute (S3RI)

Our people

Learn more about our team of expert statisticians by exploring our staff biography pages.

Professor Jakub Bijak

Professor of Statistical Demography
Connect with Jakub

Dr Jamal Hossain PhD, MSc, BSc (Hons), FHEA

Lecturer in Applied Health Statistics

Research interests

  • Quantitative Research Methods and Health Survey Data Analysis
  • Multilevel Modelling and Longitudinal Analysis of Health Outcomes
  • Application of Statistical and Machine Learning Methods in Healthcare and Social Science Research

Accepting applications from PhD students

Connect with Jamal

Professor Jeremy Frey

Professor of Physical Chemistry

Accepting applications from PhD students

Connect with Jeremy

Mr Jinxuan Bai

Research interests

  • Mathematical neuroscience
  • Spatial-temporal modelling applied to neuroscience
  • Machine learning  
Connect with Jinxuan

Dr Joanne Ellison BSc, PhD

Research Fellow

Research interests

  • Fertility projections
  • Demographic forecasting
  • Bayesian demography
Connect with Joanne

Dr Jon Cockayne

Lecturer in Statistics

Research interests

  • Statistical Computing
  • Bayesian Computation
  • Probabilistic Numerical Methods
Connect with Jon

Professor Li-Chun Zhang

Professor in Social Statistics

Research interests

  • Graph sampling
  • Analysis of integrated data
  • Statistical uses of administrative sources

Accepting applications from PhD students

Connect with Li-Chun

Mrs Megan Lawrence

Senior Medical Statistician
Connect with Megan

Dr Melike Oguz Alper

Lecturer

Research interests

  • Finite population sampling design and inference
  • Variance estimation of change in complex parameters under rotating panel surveys
  • Empirical likelihood inference when modelling complex survey data

Accepting applications from PhD students

Connect with Melike

Professor Nikos Tzavidis PhD

Professor of Statistical Methodology

Research interests

  • Small Area Estimation and official statistics
  • Outlier robust inference; Quantile and M-quantile models
  • Geospatial data; Poverty mapping; Statistical inference under data aggregation and displacement

Accepting applications from PhD students

Connect with Nikos