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= Tom Kelsey = Thomas W Kelsey PhD is a Professor Health Data Science at the University of St Andrews. He is Scientific Director of the Wallace-Kelsey Research Foundation, which conducts data-driven research into the late effects of treatment on survivors of childhood cancer. He is noted for his work in AI search, population-based studies and data-driven modelling in endocrinology and physiology. He serves on the board of the NHS Scotland Managed Services Network for Children and Young People with Cancer.

Education and Early Career
Kelsey received his B.Sc. degree in mathematics from Heriot-Watt University. He then pursued an M.Sc. in numerical analysis at the University of Dundee under the supervision of Rodger Fletcher, a renowned mathematician known for his work in optimisation and numerical analysis.

Following his MSc, Kelsey completed a Ph.D. degree in computational mathematics from the University of St Andrews, where he continues to work. He has held visiting research positions at:


 * Universidad de la República (Uruguay)
 * The University of Copenhagen (Denmark)
 * Imperial College London (England)

Research and Publications
Kelsey has published over 100 peer-reviewed papers, with an h-index of 43 and over 10,500 citations as of July 2024. His research spans various fields, including reproductive medicine, oncology, and computer science. His work has been published in high-impact journals such as The Lancet Oncology, Human Reproduction, and PLoS ONE.

Notable research contributions include:


 * 1) Modeling the age-related population of non-growing follicles in the human ovary from conception to menopause. This work, published in PLoS ONE, has been highly cited and provides a comprehensive model of ovarian reserve throughout a woman's lifetime.
 * 2) Identifying optimal follicle sizes for oocyte maturation in IVF treatments. His paper "Follicle Size on Day of Trigger Most Likely to Yield a Mature Oocyte," published in Frontiers in Endocrinology in 2018, has had exceptional impact. As of February 2023, it had over 1.3 million views on the Frontiers platform and ranked as the 14th most viewed article out of 530,845 articles across all Frontiers journals. The study, which analyzed data from 449 women undergoing IVF with different triggering methods, found that follicles 12–19 mm on the day of trigger contributed the most to the number of mature oocytes retrieved. This finding has important implications for optimizing IVF protocols and improving outcomes for patients undergoing fertility treatments.
 * 3) Developing predictive models for the effect of therapeutic radiation on the human ovary. This research, published in PLoS ONE, provides valuable insights for fertility preservation in cancer patients undergoing radiotherapy.
 * 4) Creating validated normative models for various reproductive health markers, including serum anti-Müllerian hormone levels from conception to menopause, and age-related normative models for male total testosterone.

Kelsey's research is characterized by its interdisciplinary nature, combining expertise in mathematics, computer science, and health sciences. His work often involves the application of advanced statistical and machine learning techniques to large datasets, aiming to derive clinically relevant insights and predictive models in reproductive medicine and oncology.

Collaborations
Throughout his career, Kelsey has established strong collaborative relationships with leading researchers in the fields of reproductive medicine and endocrinology. Two of his key collaborators include:


 * 1) Professor Hamish Wallace: A consultant paediatric oncologist at the Royal Hospital for Sick Children in Edinburgh and Professor at the University of Edinburgh. Kelsey and Wallace have collaborated on numerous studies related to fertility preservation in cancer patients, particularly focusing on the effects of cancer treatments on ovarian function. Their joint work includes the development of predictive models for ovarian failure after radiation therapy and criteria for ovarian tissue cryopreservation in young cancer patients. In addition to their academic collaboration, Kelsey and Wallace co-founded the Wallace-Kelsey Research Foundation, a charitable organization dedicated to conducting data-driven research into the late effects of treatment on survivors of childhood cancer. Kelsey serves as the Scientific Director of this foundation.
 * 2) Professor Waljit S. Dhillo: A Professor in Endocrinology and Metabolism at Imperial College London and Consultant Endocrinologist at Imperial College Healthcare NHS Trust. Kelsey and Dhillo have worked together on several studies related to reproductive endocrinology, particularly in the field of in vitro fertilization (IVF). Their collaborative research includes the highly cited work on optimal follicle size for oocyte maturation in IVF treatments.

These collaborations have been instrumental in bridging the gap between computational modeling and clinical practice, leading to research outcomes with direct implications for patient care in reproductive medicine and oncology.