Professor Thierry Chaussalet
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After receiving a PhD from North Carolina State University (USA) in Probability and Stochastic Processes, Thierry started his career in the UK as a lecturer in Decision Sciences. With a growing interest in modelling health and social care, he co-founded in 1998, with Professor Peter Millard, the Health and Social Care Modelling Group at the University of Westminster, and became Professor of Healthcare Modelling in 2007. His research interests are quantitative modelling of management processes, intelligent data driven methods for informed decision making and performance management, and data science for resources planning and management.
Thierry serves on the Editorial Board of various healthcare modelling and informatics journals, and has edited several special issues of internationally recognised journals. He is member of the NIHR Peer Review panel, and was a member of the EPSRC Peer Review College 1996-2016 and expert evaluator for the EU FP7 ICT programme (2013). Keen promoter of the use of data driven modelling and simulation approaches for the management of healthcare, he is also Chair of the Operational Research Health and Social Services Special Interest Group, and founding member of the Cumberland Initiative, and MASHnet, the UK network for Modelling And Simulation in Healthcare.
Designed and taught a variety of operational research (OR) and analytics modules including at MSc level:
- Deterministic OR: Linear Programming (LP), Networks, Dynamic Programming, etc.
- Stochastic OR: Inventory models, Queuing theory, Reliability theory, etc.
- Data mining applications: seminar based course with various presentations on applications of data mining and machine learning. Students had to undertake a “mini-project” in an application area of data mining / machine learning and produce a short report.
- Business Analytics: Descriptive, Predictive and Prescriptive Analytics; exploratory data analysis, probability distributions, Bayes’ theorem, hypothesis testing, regression, forecasting, optimisation (linear programming) and simulation (Monte-Carlo/spreadsheet)
- Simulation Modelling: Risk, Processes and Systems: Decision analysis, Risk and Monte-Carlo simulation, Queuing theory (simple queues), Discrete-event simulation, etc.
Thierry's research interests lie in the development and use of Analytics, Operational Research (OR) and intelligent data driven approaches to improve management and delivery of health and social care and other services.