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Professor Jennifer Visser-Rogers is an experienced statistical consultant and a popular science communicator and presenter. With a Ph.D. from the University of Warwick and a B.Sc. and M.Sc. from Lancaster University, she has a broad portfolio of achievement, particularly in the development of clinical trial methodologies. She made the move into industry in 2019 from the University of Oxford, where she was Director of Statistical Consultancy Services and an Associate Professor in the Department of Statistics. She has an interest in the development and application of novel statistical methodologies, particularly in medicine. Her main area of expertise is the analysis of recurrent events and much of her research has focussed on developing and implementing appropriate methodology for the analysis of repeat hospitalisations in patients with heart failure, but her research has many other applications in medicine such as epilepsy and cancer, but also in retail and engineering. She works alongside other statisticians, clinicians, computer scientists, industry experts and regulators. In 2013, Jennifer was awarded a NIHR Post-Doctoral Fellowship for “Analysis of Recurrent Events in Clinical Trials”.

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Jennifer's current role is Chief Scientific Officer at Coronado Research, a consultancy-led, professional services organisation, which provides support to pharmaceutical, biotechnology, and medical device companies. As Chief Scientific Officer, she combines high-calibre research with commercial understanding to build out service offerings to accelerate drug development and ensure new treatments better meet market needs. Remaining at the cutting edge of innovation, Jennifer ensures that Sponsors can extract the most value from their data using cutting edge methodologies and leading technologies. The clinical trial space is changing with the adoption of Artificial Intelligence and machine learning technologies, but the importance of the human-in-the-loop to design, develop, and implement them cannot be understated.​

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Jennifer is also passionate about supporting the next generation of industry experts through the supervision and mentoring of thought leaders who deliver the highest level of methodological expertise and innovative services.

 

Jennifer can also regularly be found giving conference presentations and talking all things statistics in schools, theatres and pubs. She is a popular statistics presenter and can often be heard on the Radio or seen on TV screens. She has made a number of appearances on BBC Radio 4's More or Less and appeared on series 42 of BBC Watchdog where she presented their "Best or Worst" segment. 

 

Throughout the COVID-19 pandemic, Jennifer carried out numerous interviews and was ITV's resident COVID-19 statistician. She was also a member of the Royal Statistical Society COVID-19 Task Force. A full list of Jennifer's COVID-19 media interactions can be found here.

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Jennifer was named one of the Twenty Women in Data and Tech by Women in Data® in 2024. She was also the 2020 winner of the annual HealthWatch Award for her work in improving the understanding of statistics through the media. You can watch her acceptance speech and lecture, titled "Can’t see the wood for the trees? Making sense of data during a global pandemic"here.

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Jennifer is a highly active member of the Royal Statistical Society. She was the Society's Vice President for External Affairs (2017-2020), sat on RSS Council (2015-2020), and was Chair of the Society's Long Term Strategy Group in 2024. She was also previously appointed as the RSS Guy Lecturer for 2014 and was Honorary Officer for Meetings and Conferences, organising the 2015 and 2016 RSS International Conferences. In addition to her involvement with the Royal Statistical Society, Jennifer was the President of the British Science Association Mathematical Sciences Section for 2018, giving a keynote speech at the British Science Festival, and was the London Mathematical Society Popular Lecturer for 2018. She is currently Vice Chair of the Florence Nightingale Museum and President Elect of the British and Irish Region of the International Biometrics Society.

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