Research groups
Yama F Mujadidi
BCA Computer Application , MSc in Information Technology and Software Engineering
Programming and Data Management Director
Automation and Semantic Interoperability in Clinical Trials
Yama F Mujadidi is the Programming and Data Management Director at the Oxford Vaccine Group. In this role, he provides strategic leadership across the Group’s global portfolio of clinical research, with responsibility for data governance, IT infrastructure, programming, and data management systems.
With more than a decade of experience in clinical trials data management and software engineering, he has led the development and validation of electronic data capture systems (MHRA/GxP/FDA compliant), large-scale database infrastructures, and large language models. His expertise spans information governance, clinical trial regulations, and project management, underpinned by a proven ability to lead multidisciplinary technical teams.
Since joining the Oxford Vaccine Group in 2013, Yama has contributed to major international vaccine trials, trained and mentored research teams in the UK and globally, and co-authored numerous publications in high-impact journals. He has also taken a leading role in advancing novel approaches to clinical trial database design and semantic interoperability.
His achievements have been recognised through several awards, including the Fazlur Rahman Khan Award for Excellence in Engineering and Science (2013), the Association for Clinical Data Management’s Individual Excellence Award (2024), and recognition as Best Muslim in STEM by British Muslim (2024).
Beyond Oxford, Yama is an entrepreneur and founder of organisations advancing educational and technological innovation for global health. He is currently pursuing a DPhil at the University of Oxford on automation and semantic interoperability in clinical trials. Alongside his academic and professional commitments, he serves as a delegate with UN Women UK, advocating for the rights of women and children.
Recent publications
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Li G. et al, (2025), Vaccine, 62
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Janani L. et al, (2025), J Infect
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Costa Clemens SA. et al, (2025), Mayo Clinic Proceedings Innovations Quality and Outcomes, 9
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Mujadidi YF. et al, (2025)
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Feng S. et al, (2025), J Infect, 90
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Chanda C. et al, (2025), The Lancet Microbe
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Conlin K. et al, (2024), Vaccine, 45
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Qadri F. et al, (2024), Lancet, 404, 1419 - 1429
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Khaki JJ. et al, (2024), Sci Rep, 14
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Dyson ZA. et al, (2024), Lancet Microbe
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Jackson S. et al, (2024), Lancet Microbe, 5, 655 - 668
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Bijukchhe SM. et al, (2024), Vaccine, 42, 2018 - 2025
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Hill M. et al, (2023), BMJ Open, 13
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Kelly E. et al, (2023), J Infect, 87, 230 - 241
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Fachrul M. et al, (2023), Commun Biol, 6
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Kelly S. et al, (2023), Trials, 24
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Liu X. et al, (2023), J Infect, 87, 18 - 26
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Shaw RH. et al, (2023), J Infect, 86, 574 - 583
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Liu X. et al, (2023), J Infect, 86, 540 - 541
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Khanam F. et al, (2023), Vaccine
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Ashton PM. et al, (2023)
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Voysey M. et al, (2023), Clin Exp Immunol, 211, 280 - 287
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Fidler S. et al, (2023), Clin Infect Dis, 76, 201 - 209
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Shaw RH. et al, (2022), Lancet Respir Med, 10, 1049 - 1060
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Shrestha S. et al, (2022), Lancet Glob Health, 10, e1494 - e1504
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Bendor-Samuel OM. et al, (2022), Arch Dis Child
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Li G. et al, (2022), Lancet, 399, 2212 - 2225
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Munro APS. et al, (2022), Lancet Infect Dis
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Ogbe A. et al, (2022), JCI Insight, 7
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Liu X. et al, (2022), J Infect