William Marsh
Queen Mary University of London
William’s research aims are to develop better ways to build useful risk and decision making techniques, using a combination of data and knowledge (or expertise). He mainly works with Bayesian networks and prefers to work with ‘end users’ who are making decisions. He is currently collaborating with several groups of clinicians to build decision support systems for medical decision problems.
Barbaros Yet
Hacettepe University
Barbaros is an Assistant Professor of Industrial Engineering at Hacettepe University. His research focuses on decision support and risk analysis using Bayesian and probabilistic graphical models (PGMs). He is interested in tackling methodological issues regarding decision support models and applying PGMs to real-world problems where data need to be supplemented with knowledge. He has applied his research in different problem domains including project management and risk analysis, medical decision support, and reliability analysis.
Dylan Morrissey
Queen Mary University of London
Dylan has over 25 years experience working in sports and exercise medicine. He completed an MSc at University College London in 1998 and a PhD in 2005 at King’s College London. He is now an NIHR/HEE consultant physiotherapist and clinical reader in sports and musculoskeletal physiotherapy at Bart’s and the London NHS trust / BL School of Medicine and Dentistry, QMUL.
Edibe Ünal
Hacettepe University
Edibe is a Professor at the Department of Physical Treatment and Rehabilitation at Hacettepe University and leads the Rheumatologic Rehabilitation Unit there. Her unit provides clinical service by adopting biopsychosocial approach of rehabilitation and conducts clinical trials. Ünal’s research focuses on clinical trials of MSK treatment and exercises, and on questionnaire and outcome measure validation.
Ceren Tuncer Şakar
Hacettepe University
Ceren is an Assistant Professor of Industrial Engineering at Hacettepe University. Her research interests are multi-criteria decision making and optimization methods, preference elicitation models and their practical applications. She has applied her research in financial and public security domains.
Chris Joyner
Queen Mary University of London
Chris is a former mathematical physicist and now works as a researcher in the Risk and Information Management Group in QMUL. He is interested in the application of statistical and machine learning approaches to improve medical decision making. In particular he attempts to use Bayesian Networks to combine data and expert opinion for making informed predictions.
Adele Hill
Queen Mary University of London
Adele is a Musculoskeletal Physiotherapist and former research Mathematician who has a special interest in Artificial Intelligence for healthcare applications. Adele was awarded an NIHR Pre-doctoral Clinical Academic Fellowship in 2018 to explore the use of decision support to improve the management of spinal masquerading conditions and low back pain.
Melodi Cebesoy
Hacettepe University
Melodi is a master’s degree student of Industrial Engineering Department at Hacettepe University. She graduated from TED University Industrial Engineering Department in 2017. She completed her senior project at Hacettepe University Hospitals to schedule the surgical operations with heuristics and discrete event simulation.
Hakan Yücetürk
Hacettepe University
Hakan graduated from Turkish Aeronautical Association University Industrial and System Engineering Department in June 2017. He is currently master’s degree student of Hacettepe University Industrial Engineering Department. His graduation project was about material requirements planning and demand forecasting of a company in Istanbul whose name is General Aviation.
Erhan Pişirir
Hacettepe University
Erhan has BSc and MSc degrees in Industrial Engineering. He works as a research assistant at Department of Statistics of Hacettepe University, mainly responsible for Computer Programming and Operations Research courses. He also is a PhD student in Industrial Engineering program. His research interests focus on probabilistic programming methods for modelling real life systems and data, operations research, and modern data analysis techniques.