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Yusuf O. Anifowoshe, BSc: Information Technology and Computing MSc: Information Technology With Business and Management

Yusuf

Senior Research Software Manager

Email: y.anifowoshe@qmul.ac.uk

Profile

With over a decade of expertise in leading software engineering within global public health organisations, I bring a wealth of experience and leadership to my role. I hold a bachelor’s degree in information technology and computing from Eastern Mediterranean University, Cyprus, and a master’s degree in information technology with Business and Management from the University of Sussex.

 Recently, I transitioned to the Wolfson Institute of Population Health after five successful years as a Research Software Engineering Lead at Imperial College London. In my current role, I provide exceptional leadership in developing high-quality research software and databases for clinical trial workflow, with a focus on re-usability, durability, and reliability.

Research

Research Interests:

Integration of Emerging Technologies 

Adaptive Trial Designs 

Data Security and Privacy in Public Health 

Equity and Accessibility in Health Delivery 

HIV Modelling Tools 

 

Publications

Aune D, Markozannes G, Abar L, Balducci K, Cariolou M, Nanu N, Vieira R, Anifowoshe YO, Greenwood DC, Clinton SK, Giovannucci EL, Gunter MJ, Jackson A, Kampman E, Lund V, McTiernan A, Riboli E, Allen K, Brockton NT, Croker H, Katsikioti D, McGinley-Gieser D, Mitrou P, Wiseman M, Velikova G, Demark-Wahnefried W, Norat T, Tsilidis KK, Chan DSM. Physical Activity and Health-Related Quality of Life in Women With Breast Cancer: A Meta-Analysis. JNCI Cancer Spectr. 2022 Nov 1;6(6):pkac072. doi: 10.1093/jncics/pkac072. PMID: 36474321; PMCID: PMC9727071. 

 

Eaton JW, Dwyer-Lindgren L, Gutreuter S, O'Driscoll M, Stevens O, Bajaj S, Ashton R, Hill A, Russell E, Esra R, Dolan N, Anifowoshe YO, Woodbridge M, Fellows I, Glaubius R, Haeuser E, Okonek T, Stover J, Thomas ML, Wakefield J, Wolock TM, Berry J, Sabala T, Heard N, Delgado S, Jahn A, Kalua T, Chimpandule T, Auld A, Kim E, Payne D, Johnson LF, FitzJohn RG, Wanyeki I, Mahy MI, Shiraishi RW. Naomi: a new modelling tool for estimating HIV epidemic indicators at the district level in sub-Saharan Africa. J Int AIDS Soc. 2021 Sep;24 Suppl 5(Suppl 5):e25788. doi: 10.1002/jia2.25788. PMID: 34546657; PMCID: PMC8454682. 

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