Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Dr Clement Twumasi (PhD)

Dr Clement Twumasi (PhD)

Dr. Clement Twumasi

BSc, MPhil, PhD


Medical Statistician

  • Full-time Medical Statistician, University of Oxford, Nuffield Department of Medicine, Experimental Medicine (September 2023-date).
  • Full-time Clinical Trials Statistician, Imperial College London, Imperial Clinical Trials Unit (Nov 2022-September 2023).
  • Post-doctoral Biostatistics Research Assistant, University of Oxford, Department of Statistics (April 2022-September 2022).
  • Biostatistics Research Assistant, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Science, Oxford University (February 2022-April 2022).
  • Cardiff University PhD Vice Chancellor's Scholar (October 2018-September 2021).

I support exciting research to advance understanding of vaccination in chronic disease and aging, and approaches for the prevention and treatment of persistent viral infections such as HIV/HBV/HCV.

Short Biography

Dr. Clement Twumasi joined the Oxford University Nuffield Department of Medicine (Experimental Medicine) as a full-time Medical Statistician (on September 4, 2023). This position at Oxford University NDM, coupled with his outstanding academic track record (within and outside the UK), also helped him successfully receive the UK’s prestigious 3-year Global Talent Visa for Exceptional Talents. He will support exciting research to advance understanding of vaccination in chronic disease and aging, and approaches for the prevention and treatment of persistent viral infections such as HIV/HBV/HCV.  Based at the Medawar Building for Pathogen Research, he will work with Professors Eleanor Barnes, John Frater and Paul Klenerman (NDM Experimental Medicine Division) and Professor Susanna Dunachie (Tropical Medicine) on projects within the scope of the ‘Vaccines in Chronic Disease and Aging’ subtheme of the Oxford Biomedical Research Centre theme ‘Life-saving Vaccines’. As a medical statistician, he also collaborates with the Oxford University Jenner Institute (where I provide statistical consulting services), and the Oxford Vaccine Group.

Dr Twumasi is currently a reviewer for top Q1 journals (which focus on econometric modelling and machine learning predictions). This includes the International Journal of Forecasting, PLOS ONE and PLOS Computational Biology Journals, where he reviews papers on time-series predictions using state-of-the-art time series models and machine learning techniques (with specific applications to blood supply chain) as well as works on mathematical biology/infectious disease modelling.  

Prior to this new position at Oxford University, Dr. Twumasi was a full-time Clinical Trials Statistician at the Imperial College London School of Public Health/Imperial Clinical Trials Unit, as well as a former postdoctoral researcher at the Oxford University Statistics Department and a Biostatistician at the Oxford University Nuffield Departments of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS). He completed his PhD in Mathematics at Cardiff University (from 2018 to 2021) as a Vice Chancellor's Scholar. Clement has a very robust background in Statistics and Mathematics. He has developed new interests in clinical trial studies, and one of his long-term career goals is to establish a career and expertise in trial methodologies; in addition to becoming a lecturer/professor in Statistics/Mathematics coupled with statistical consultancy services in the foreseeable future.

Oxford University Website: click here

Medawar Website (Oxford University): click here

Personal Profile Link/CV:  click here

Personal Website: click here

Online programming school: click here

LinkedIn Profile: click here 

YouTube Channel: click here

Twitter: click here