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Simon Maskell is a Professor of Autonomous Systems and Director of the EPSRC Centre for Doctoral Training in Distributed Algorithms at the University of Liverpool. Simon's research interests are focused on developing ground-breaking algorithmic solutions that can be translated into tangible advantages across multiple sectors in both industry and government. The solutions that Simon has developed have, for example, benefited organisations operating within defence, security, insurance, petrochemicals, pharma and transport.
Plenary Talk
Simon will be giving a plenary talk titled "Finding MH370" - more information can be found on the Plenaries page.
David Hughes is a lecturer in Health Data Science at the University of Liverpool. His research specialities involve the development of methodology for longitudinal data analysis, Bayesian computation and prediction modelling, and applying these to a range of health disciplines including cancer research, mental health, epilepsy and diabetes. He also works within the Civic Health Innovation Lab (CHIL), and Liverpool City Region Civic Data Co-operative, which aims to use advanced statistical methods to answer complex health questions and provide solutions within the regions of Cheshire and Merseyside.
Plenary Talk
David will be giving a plenary talk (title to be confirmed)
Maria, a lecturer in Health Data Science at the University of Liverpool and Deputy Director of the MSc in Health Data Science programme, will deliver a highly informative session on joint modelling at our conference. Maria’s main research area is methods for joint modelling of longitudinal and time-to-event data, especially for complex longitudinal and time-to-event data provided by multiple data sources. Renowned for her expertise, Maria leads workshops on joint modelling methodology, equipping professionals with the tools needed to navigate this advanced area of analysis
Pre-Conference Course
Maria will be running the pre-conference course on Introduction to Joint Modelling - more information can be found on the Courses page.
Ruth Keogh is Professor of Biostatistics and Epidemiology in the Medical Statistics Department (Faculty of Epidemiology and Population Health) and Co-Director of the Centre for Data and Statistics Science for Health (DASH) at London School of Hygiene and Tropical Medicine (LSHTM). Her research is focussed on the development of causal inference methods and methods for analysis of time-to-event data, and applying these methods to observational health data, in particular electronic health records (EHRs) and patient registries.
Ruth is involved in several areas of applied health research, including cystic fibrosis, cancer, COVID-19 and kidney disease. She has extensive expertise in the application of causal inference methodology, including target trial emulation, to compare the effect of treatments for cystic fibrosis, using data from national cystic fibrosis registries.
Plenary Talk
Amy will be giving a plenary talk titled "When prediction meets causal inference" - more information can be found on the Plenaries page.
Amy Wilson is a lecturer in industrial mathematics with a background in interdisciplinary applied statistics for problems in industry and government. Applications she has worked on include the modelling of extremes for energy capacity adequacy studies (assessing the risk of shortfalls), uncertainty quantification (including Bayesian emulation) for large-scale computer or simulation models and decision-making under uncertainty in legal cases and energy policy. She is particularly interested in applications in statistics and the law and in energy systems. She won the 2022 Edinburgh Mathematical Society Impact Prize jointly with Chris Dent and Stan Zachary for the work on capacity adequacy studies with National Grid.
She previously held postdoctoral positions at the Universities of Durham and Edinburgh in statistical modelling for energy systems. Her PhD at the University of Edinburgh was in statistical modelling for the evaluation of forensic evidence. This was on the evaluation of multivariate evidential data, particularly focused on evidence relating to traces of cocaine on banknotes.
Plenary Talk
Amy will be giving a plenary talk titled "Statistics and the law: what’s the verdict?" - more information can be found on the Plenaries page.
Dr Laura Bonnett is an award-winning speaker and inspiring educator, widely recognised for her engaging communication style and passion for making complex topics accessible. She was the Royal Statistical Society’s William Guy Lecturer (2020–2022), delivering memorable talks such as “Driving is a risky business!” to schools across the UK. A recipient of the Royal Society’s Rosalind Franklin Award Lecture for Physical Sciences & Mathematics and named one of Women in Data UK’s “Twenty in Data & Technology”, Laura has a proven track record of excellence in delivering presentations. She is also a committed STEM (Science, Technology, Engineering & Mathematics) Ambassador, known for her innovative, hands-on workshops that bring statistics to life—whether through penguin-poo sampling or giant dice experiments! At the University of Liverpool, she teaches communication skills to postgraduate students in Health Data Science, equipping the next generation of scientists to present their findings with clarity and confidence.
Pre-Conference Course
Laura will be running the pre-conference course on Stories, scripts & slides: a guide to giving a good presentation - more information can be found on the Courses page.
Benjamin is a lecturer in sports analytics with a PhD in mathematics from the University of Liverpool. While he's worked across a wide range of sports, his main focus tends to be on mixed martial arts (MMA) and football. He is particularly interested in forecasting results and uncovering biases, using statistical and machine learning approaches. Benjamin has published research on predicting MMA outcomes using Markov chain simulations, football results through player-based models, and modelling transfer fees, as well as on judging biases in combat sports. He's also developed tournament simulations for the World Cup and European Championship. Alongside his academic work, Benjamin has contributed to consultancy projects across esports, horse racing, and greyhound racing.
Plenary Talk
Benjamin will be giving a plenary talk titled "An Introduction to Sports Analytics" - more information can be found on the Plenaries page.
Please note, the YSM organisers are not responsible for any changes to the schedule, venue, or line-up due to unforeseen circumstances.
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