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Lei CLIFTON
Official Fellow in AI & Machine Learning, Reuben College
Senior Researcher, Nuffield Department of Population Health
The University of Oxford, UK
TOPIC:
Challenges Combining Machine Learning with Medical Statistics
BIO:
Dr. Lei CLIFTON joined the Nuffield Department of Population Health in 2019 as the team leader of the Translational Epidemiology Unit, under its Director Professor David Hunter. She leads a programme of research in translational cancer epidemiology. Key research includes assessing the performance of large-scale information on lifestyle and environment, assisting in development of exposure assessment instruments suitable for use at scale.
She manages specialist grant-funded research projects, including the recruitment, supervision and operational management of a research group. She line manages other members of the team, contributing to their development through induction, appraisal, and coaching.
From 2014 - 2018, she worked for Prof. Doug Altman in the Centre for Statistics in Medicine (CSM), where she led statistical work on clinical trials, observational studies, and research on trial methodology. She was a senior advisor on the NIHR Research Design Service team, which provided free advice on research design to researchers in the South Central region. She collaborated extensively with principal investigators in trial design and grant applications.
During her 5 years in CSM, she also provided statistical supervision in fellowship applications, taught statistics at the postgraduate level, and review grant proposals for the NIHR. She was a Scientific Research Committee member of the Northern Ireland Chest Heart and Stroke, responsible for reviewing proposals and allocating research grants.
From 2009 - 2014, she worked at the Institute of Biomedical Engineering, at the University of Oxford, where she undertook research into statistical time-series models for providing early warning of deterioration in post-surgery patients. From 2007-2009, she was a post-doctoral researcher in the Nuffield Department of Clinical Neurosciences, University of Oxford, where she developed mathematical models and prototype apparatus for measuring the lung function of ICU patients.
She was awarded a Ph.D. in Statistical Machine Learning in 2007 from UMIST (now the University of Manchester), after completing my BSc and MSc degrees in Electrical Engineering at the Beijing Institute of Technology, China. She joined CSM in 2014.
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