I am a Biostatistician and Health Services Researcher contributing across numerous departments and centres within the University of Manchester (UoM)

Evangelos (Evan) Kontopantelis is a Professor in Data Science and Health Services Research in the Division of Informatics, Imaging and Data Sciences, at the University of Manchester, England. He holds degrees in computational statistics (BSc) and machine learning (MSc and PhD) and has a long track record in research using large-scale primary care and other administrative databases to investigate quality of care, mortality and cardiovascular disease, with a focus on the effects of policy changes and the role of socio-economic and regional disparities. His methodological interests include statistical methods in health sciences with a focus on spatial epidemiology, meta-analysis, longitudinal data modelling, observational studies with electronic health records, pharmacoepidemiology, machine learning and quasi-experimental designs. 

• Biostatistics
• Computational statistics / simulations
• Meta-analysis
• Bootstrapping methods
• Structural Equation Modelling
• Data mining techniques
• Applied mathematics
• Interrupted time series analysis
• Artificial Neural networks
• Algorithms (theory, applications)
• Large databases in health care
• type net from http://statanalysis.co.uk/ within the Stata environment for a list of software contributions

• PhD in Computer Engineering, National Technical University of Athens, Department of Electrical & Computer Engineering, Information Technology Section. Thesis: An application of statistics, artificial neural networks and dynamic measures in psychiatric diagnosis
• MSc in Computer Engineering, N.T.U.A., Department of Electrical & Computer Engineering, Information Technology Section
• Degree in Statistical Science, University of Piraeus

Current

• Course leader for the Health Informatics module of the Clinical Bioinformatics MSc (STP) (https://www.mangen.co.uk/education/stp-clinical-bioinformatics/). This role involves teaching, assessment and student support.
• Epidemiology and Public Health lead of the successful application to attract NIHR clinical academic training posts.
• Supporting the MSc Bioinformatics and Systems Biology through supervision (up to 3 per annum).
• Supporting the MSc Health Data Sciences through supervision (up to 3 per annum).
• Supporting the MSc Health Informatics through supervision (up to 3 per annum).
• Mentoring support for three current presidential fellows (Drs Wilkinson, Zghebi and Hodkinson).
• Currently supervising four PhD students, all as primary supervisor.
• Offering Applied Personal Excellence Pathway (APEP) projects to MBChB Medicine students and supporting up to six per annum.
• Supporting Undergraduate Medicine, Dentistry and PA interviews annually, since 2019.
• Supporting the Centre for Biostatistics with their “biostatistics clinics” since 2010, guiding medical students with their fourth-year project option (seeing approximately 5 students per annum).
• Writing or contributing to blogs (e.g. 29Thttps://goo.gl/brFDTe29T)

Previous

• Seen ten PhD students to completion.
• Served as examiner for sixteen PhD candidates since 2016, nine UoM internal and seven external: Keele University, KCL, Liverpool John Moores University, University of Leicester, University of York and Monash University (twice).
• Postgraduate trainer for the Institute of Population Health (IPH) on quantitative methods. Supporting PhD candidates in learning the quantitative methods needed to successfully complete their projects (2012-2015).
• Contributing to the online Masters in Public Health (MPH) as a tutor for the Biostatistics module (2008-2015)