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Stephen Weng

Assistant Professor in Integrated Epidemiology and Data Science, Faculty of Medicine & Health Sciences

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Biography

I am an Assistant Professor of Integrated Epidemiology and Data Science who leads the data science research within the Primary Care Stratified Medicine Research Group

I integrate traditional epidemiological methods and study design with new informatics-based approaches, harnessing and interrogating "big health care data" from electronic medical records for the purpose of risk prediction modeling, data science methods research, and translation of stratified medicine into primary care.

I obtained a Bachelors degree from the University of Virginia majoring in Biological Sciences and minoring in Economics in 2008. I worked in the consulting firm IHS Global Insight conducting pricing forecasts for pharmaceuticals, health care wages and inflation for major health care industry clients. I left consultancy to obtain a MPH with distinction from the University of Nottingham in 2010 and continued on to obtain a PhD in Applied Epidemiology and Public Health from the University of Nottingham in 2013.

I have previously been awarded a prestigious NIHR career launching fellowship from The National School for Primary Care Research from 2015-2018 to explore novel methodologies to improve risk prediction in clinical decision tools for use in primary care.

I am currently a member of the Independent Scientific Advisory Committee (ISAC) for Clinical Practice Research Datalink (CPRD) at the UK Medicines and Health Regulatory Agency (MHRA) and a member of the Genomics England Clinical Interpretation Partnership (GeCIP) domains on cardiovascular disease and machine-learning.

In addition my academic work, I am academic adviser to Quealth, a health and wellbeing company, on health risk assessment algorithm development.

Expertise Summary

Methodological: Data Science (machine-learning, data-mining, ensemble modelling); Applied Epidemiology (design and analysis); Health Informatics (application development); Complex interventions (design and analysis); Large routine database analysis; Systematic reviews & Meta-analysis; Decision analysis (CEA) & Markov modelling (multi-state IPD); Risk prediction & Survival modelling

Content: Genomics/Genetics, Cardiovascular Disease, Breast Cancer, Lipid Disorders, Pharmacogenomics, Stratified/Precision/Personalised Medicine, Primary Care

Programming: STATA, TreeAge Pro, MPlus, R, LaTeX, EPS, MatLab, Mathematica

Foreign Languages: Mandarin Chinese (Advanced), Spanish (Beginner)

Teaching Summary

Primary Supervisor: Dr Ralph Akyea (Research Associate); Project: "Developing a risk algorithm for uncontrolled cholesterol" November 2017 - Present

Primary Supervisor: Ms Emily Wallbanks (MPH Student); "Evaluating the effects GP education and patient specific reminders in primary care: A difference-in-differences analysis on assessing compliance to NICE guidelines for identifying and managing familial hypercholesterolaemia" October 2017 - Present

Co-Supervisor: Dr Ing Siang Lee (GP Academic Fellow); Project: "General practitioner's management of patients with familial cancer risk" August 2017 - Present

Co-supervisor: Ms Ibiwoye Oluwaseun (MPH Student); Project: "Systematic review and meta-analysis of using Intermittent preventive treatment in pregnancy (IPTp) in low-income countries" August 2017 - Present

Co-supervisor: Dr Luisa Maria Riberio Da Silva; "Strategies for identifying familial hypercholesterolaemia in non-specialist clinical settings"; May 2015 - Present

Co-supervisor: Dr Chris Respinger; Project "Systematic review and meta-analysis of observational studies for detecting familial hypercholesterolaemia in primary care"; September 2016 - September 2017

Research Summary

In addition to securing a prestigious NIHR fellowship, my research portfolio includes over £2 million in research income (with 66.6% grant success rate) as both principal and co-investigator obtained… read more

Recent Publications

Current Research

In addition to securing a prestigious NIHR fellowship, my research portfolio includes over £2 million in research income (with 66.6% grant success rate) as both principal and co-investigator obtained from government research bodies and industry partners. This has allowed me generate a large number 3/4* REF outputs within my post-doctoral period which have garnered intense international media interest, including front page news in Science magazine.

My portfolio of research projects include:

Principal Investigator: 2017 - 2018 "External validation of FAMCAT algorithm" Funder: NIHR SPCR. Award Amount: £61,736

Principal Investigator: 2017 - 2019 "Development of risk algorithm for uncontrolled cholesterol" Funder: AMGEN. Award Amount: £80,000

Principal Investigator: 2015 - 2018 "Novel methodologies to improve risk prediction in clinical decision tools for use in primary care" Funder. NIHR SPCR. Award Amount: £135,000

Co-investigator: 2016 - 2019 "Evaluating alternative protocols for identifying and managing patients with familial hypercholesterolaemia: cost-effectiveness analysis with qualitative study" Funder: NIHR HTA. Award Amount: £840,509

Co-investigator: 2016 - 2018 "Improving identification of familial hypercholesterolaemia in primary care using a new case ascertainment tool" Funder: NIHR SPCR. Award Amount: £399,235

Co-investigator: 2016 - 2018 "Quantifying severity of chronic conditions in English Primary Care using the Clinical Practice Research Datalink". Funder: NIHR SPCR. Award Amount: £327,361

Co-investigator: 2016 - 2017 "Update the usability of the CHART tool to identify cases of FH in primary care" Funder: AMGEN. Award Amount: £27,404

Co-investigator: 2014 - 2016 "Proactive familial breast cancer risk assessment in primary care: feasibility of an optimized intervention to improve identification and care of women at risk" Funder: NIHR-SPCR. Award Amount: £194,036

Co-investigator: 2015 - 2016 "Is systematic identification of Familial Breast Cancer risk more cost-effective that the currently recommended opportunistic approach?" Funder: NIHR-SCPR. Award Amount: £56,184

Co-investigator: 2014 - 2016 "Development and feasibility testing of an interactive, educational programme to facilitate Proactive Assessment of Obesity Risk during Infancy" Funder: MRC PHIND. Award Amount: £151,576

Co-investigator: 2014 - 2015 "Improving Identification of Familial Hypercholesterolaemia in General Practice: Intervention Optimisation Study and Systematic Review" Funder: Nottingham City CCG. Award Amount: £29,000

Co-investigator: 2013 - 2015 "Improving Identification of Familial Hypercholesterolaemia in General Practice: Intervention Development Study" Funder: NIHR-SPCR. Award Amount: £99,535

Named Researcher: 2012 - 2013 External validation of the Infant Risk of Obesity Checklist [IROC]. Funder: NIHR CLAHRC-NDL. Award Amount: £10,105

Named Researcher: 2012 - 2013 "Systematic review of interventions to prevent the risk of obesity in infants and development of guidelines for health visitors". Funder: Burdett Trust for Nursing. Award Amount: £49,966

Named Researcher: 2010 - 2012: "Systematic review of the risk factors for childhood obesity and development of an Infant Risk of Obesity Checklist" Funder: Nottingham County PCT. Award Amount: £12,995

Future Research

I am open to academic collaborations on any aspect on data science using large health care data for the purpose of precision medicine. I also am open to consultancy opportunities with commercial and industry partners with similar interests which align with my research group's aims and objectives.

School of Medicine

University of Nottingham
Medical School
Nottingham, NG7 2UH

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