Biography
Lei is affiliated with the "AI for Healthcare'' CHI Lab led by Prof David Clifton, and currently leads a group of 3-4 researchers in the Nuffield Department of Population Health. She also leads analytical work in the Pandemic Science Institute on effective pandemic preparedness and response. Lei is a senior advisor of the NIHR Research Support Service team, which provides free advice on research design to researchers.
Lei was awarded a PhD in Statistical Machine Learning in 2007 from UMIST (now the University of Manchester), and subsequently worked as a post-doctoral researcher and then a medical statistician in the University of Oxford. She enjoys painting watercolours and playing violin, both amateurishly, in her spare time.
Other Information
Statistical and machine learning expertise in large-scale clinical records.
Most Recent Publications
When to and when not to use machine learning in risk prediction models.
When to and when not to use machine learning in risk prediction models.
Associations between disease-specific polygenic risk scores and disease-specific causes of death in the UK Biobank cohort
Associations between disease-specific polygenic risk scores and disease-specific causes of death in the UK Biobank cohort
Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization
Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization
Multimorbidity, disease clusters and risk of all-cause and cause-specific mortality: a population-based prospective cohort study.
Multimorbidity, disease clusters and risk of all-cause and cause-specific mortality: a population-based prospective cohort study.
A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates
A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates
Research Interests
Lei's research interests are in the field of medical statistics and AI, for large-scale observational studies and electronic health records.
Most Recent Publications
When to and when not to use machine learning in risk prediction models.
When to and when not to use machine learning in risk prediction models.
Associations between disease-specific polygenic risk scores and disease-specific causes of death in the UK Biobank cohort
Associations between disease-specific polygenic risk scores and disease-specific causes of death in the UK Biobank cohort
Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization
Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization
Multimorbidity, disease clusters and risk of all-cause and cause-specific mortality: a population-based prospective cohort study.
Multimorbidity, disease clusters and risk of all-cause and cause-specific mortality: a population-based prospective cohort study.
A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates
A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates
