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, phenotyping chronic diseases, 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.
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)
Primary Supervisor: Dr Ralph Akyea (NIHR PhD Studentship); Project: "Quantifying severity of cardiovascular disease using unsupervised machine-learning algorithms in EHRs" October 2018 - Present
Co-Supervisor: Dr Will Evans (NIHR In-Practice Fellowship); Project: "Determining clinical features are associated with the inherited cardiac conditions, bicuspid aortic valve and long QT syndrome in primary care" October 2018 - Present
Co-Supervisor: Ms Ola Anabtawi (Nutritional Sciences); Project: "Exploring social, behavioral factors, and energy consumption patterns associated with sugary drink intake in children" January 2019 - Present
Co-Supervisor: Dr Hasidah Hamid (Malaysian Ministry of Health funded PhD studentship); Project: "Evaluating the performance of case-finding algorithms for Familial Hypercholesterolaemia in Malaysian primary care" October 2018 - 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 - October 2018
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 - October 2018
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
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
AKYEA, R., KAI, J., QURESHI, N., IYEN, B. and WENG, S.F., 2019. Sub-optimal cholesterol response to initiation of statins and future risk of cardiovascular disease. Heart. 105(13), 975-981
WENG, S.F., REPS, J., KAI, J., GARIBALDI, J.M. and QURESHI, N., 2017. Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLOS ONE. 12(4), e0174944
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
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.