Turing Fellows - Warwick Business School
Dr Xuan Vinh Doan
Xuan’s research interests lie in optimisation under uncertainty, which supports decision making given imperfect information or incomplete data, and optimisation-based machine learning, which concerns the development of optimisation techniques to solve data-mining problems, especially low-rank and sparse optimisation problems. He is also interested in prescriptive analytics which focuses on the interplay between data-driven optimisation and machine learning.
Professor Suzy Moat
Suzy's research draws on Internet new data sources, and asks: “Can we use online data to measure human behaviour and experience we couldn’t measure before?” “Can we generate quicker, cheaper indicators of the wellbeing of society?” “Can we use these new data sources to predict human behaviour?” Her previous work has touched on problems as diverse as linking online behaviour to stock market moves and estimating crowd sizes.
Professor Tobias Preis
Tobias’ research investigates whether data from sources such as Google, Wikipedia, Twitter, Flickr, Instagram and other sources can be used to reduce delays in the measurement of human behaviour, measure behaviour that previously could not be measured and improve predictions of future behaviour. His research is frequently featured in the news, by outlets including the BBC, the New York Times, the Financial Times and Nature.
Dr Nursen Aydin
Nursen is an Associate Professor of Operational Research in the Operations Group. Before joining Warwick Business School, she worked as a Marie Curie research fellow at Brunel Business School, UK from January 2015 to May 2016. She holds a Ph.D. in Industrial Engineering from Sabanci University, Turkey. During her PhD, she worked as a visiting researcher on airline revenue management at Cornell University, USA. She worked at Pegasus Airlines as an assistant revenue management analyst prior to her graduate studies.
Professor Juergen Branke
Juergen is a Professor of Operational Research and Systems at Warwick Business School, and Director of Warwick’s Data Science for Social Good programme. He studied Industrial Engineering and Management at the University of Karlsruhe, Germany, where he also did his PhD in Applied Computer Science in 2000. He worked as Researcher and Lecturer at the University of Karlsruhe until moving to the University of Warwick in 2009.
Professor Ram Gopal
Ram is the Information Systems Society’s Distinguished Fellow and a Professor of Information Systems and Management. He serves as the Academic Director of the Gillmore Centre for Financial Technology and as a Pro-Dean for Research, Engagement, and Impact Warwick Business School. He previously served as the Head of the Department of Operations and Information Management in the School of Business, University of Connecticut from 2008-2018.
