Professor Amy Berrington is an expert in the use of real world data to study the late-effects of cancer treatments, medical radiation exposures and other medications and is leading major studies in this field in breast and childhood cancer survivors. She is a member of multiple national and international advisory boards and is currently Vice-Chair of the US National Academy of Science Nuclear and Radiation Studies Board.

Professor Montserrat Garcia-Closas is physician epidemiologist expert in genetic susceptibility, etiologic heterogeneity, and risk prediction for breast cancer. She co-leads the Cancer Epidemiology and Prevention Unit at ICR and Imperial College, and is a member and leader of several large international consortia in cancer epidemiology.

Dr Michael Jones is a senior staff scientist in the Division of Genetics and Epidemiology, where he is working on the Breast Cancer Now Generations Study. His main research interests are in the design and analysis of complex large epidemiological studies.

Dr Daniel Adams joined The Generations Study research team in 2023 with Professor Garcia-Closas. A medical doctor by training, Daniel practiced as a General Practitioner in the South of England after obtaining his medical degree from Semmelweis University in Budapest, Hungary. His interest in data science led to a degree in Health Data Analytics and Machine Learning from Imperial College London. At the ICR, Daniel combines his clinical experience and data science training to analyse digital images of breast tissue using AI. He also conducts statistical analyses for breast cancer survival and risk factors.

Nathalie joined the Generations Study research team in April 2025. She is an enthusiastic Staff Scientist with a primary interest in lifestyle research to enhance the understanding of the causes of lifestyle-related cancers and to identify pathways to cancer prevention. She is also interested in the design, management and analysis of large cancer-related epidemiological studies.

Reuben joined The Generations Study research team in 2023 with Professor Garcia-Closas. Previously, he graduated from University of Oxford with a Masters in Mathematics and Statistics, completing his dissertation utilizing Markov Chain Monte Carlo methods to phase imputed genetic samples. Reuben's research focusses on evaluating the performance of models assessing breast cancer risk, and collaborating with other groups to improve these models. He also works on descriptive epidemiology studies, working to find patterns in cancer rates and risk factors in the UK population with the view of projecting these trends into the future.

Zoey joined The Generations Study research team in 2024 with Professor Garcia-Closas. She moved into the role after graduating from London School of Hygiene and Tropical Medicine with a MSc in Epidemiology where she wrote her dissertation on how physical proximity to health facilities impacted implant contraceptive use in Senegal. Zoey is working on increasing study access and awareness of the Generations Study. On the research side, she uses geospatial analyses to identify social and environmental risk factors for breast cancer to identify and help address health inequities through public health policy and interventions.

Esmé joined The Generations Study research team in 2024 with Professor Amy Berrington. She came from HEOR, where she worked as a Data Scientist conducting statistical analyses to evaluate the effectiveness, safety and public health impact of new health technologies across a range of disease areas. She completed an MSc in Public Health at the University of Bristol, specialising in the mixed-methods evaluation of trauma-informed approaches to health systems. Esmé’s research focuses on exploring the relationship between pre- and post-diagnosis lifestyle factors and ovarian cancer survival.

Imogen joined the Generations Study research team in 2023, shortly after completing her master’s degree in Population Health Sciences from the University of Cambridge. With her background in epidemiology and data analysis, she is now working towards a PhD with Professor Berrington that investigates the late effects of breast cancer treatments. Imogen is dedicated to advancing our understanding of cancer survivorship and improving patient outcomes.

Isobel is a PhD student within the Cancer Epidemiology and Prevention Research Unit (CEPRU), a joint initiative between Imperial College London and the Institute of Cancer Research. Her research is primarily based within the Department of Epidemiology and Biostatistics at Imperial College, supervised by Professor Marc Gunter, Professor Amy Berrington and Dr. Alicia Heath. Isobel’s PhD is focused on temporal changes in modifiable breast cancer risk factors and their association with breast cancer risk in the Generations Study. She previously gained her undergraduate degree in Biological Sciences at the University of Leeds in 2021, with a year-long internship as the Data and Information Intern at Yorkshire Cancer Research. She then received her Master of Public Health (MPH) from Imperial in 2022.

Martina joined The Generations Study research team in 2023 with Professor Berrington. She came from the Department of Health and Social Care, where she worked as a Senior Public Health Intelligence Analyst monitoring the health of the population in England. She has also worked as a Nutrition Scientist in Public Health England, evaluating evidence that supported policy development and public health interventions. She has a background in Nutrition Science and completed an MSc in Epidemiology at the London School of Hygiene and Tropical Medicine in 2020, specialising in lifestyle and environmental risk factors and chronic diseases.

Shuang joined Professor Berrington’s research team in November 2025 as a PhD student. She completed a Master of Public Health (MPH) at Imperial College London in September 2025, specialising in environmental and cancer epidemiology. Her research examines how environmental exposures and cancer treatments influence cancer risk and survivorship. She is currently using population-based data to investigate the late effects of paediatric cancer treatment and to help inform guidelines for surveillance and screening strategies for survivors.