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Evangelos (Evan) Kontopantelis is a Professor of Data Science and Health Services Research at the University of Manchester. He holds degrees in computational statistics, machine learning, and has a long track record of research involving large-scale primary care administrative databases to investigate quality care, mortality related to 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 an emphasis on spatial epidemiology, meta-analysis, longitudinal data modeling, observational studies using electronic health records, pharmacoepidemiology, and quasi-experimental designs. He has contributed significantly to the fields of biostatistics, computational statistics, and applied mathematics, particularly in the context of health care analysis.
University of Manchester • Manchester, UK
Leading research in health services and data science.
Institute of Population Health • Manchester, UK
Training PhD candidates in quantitative methods.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.