Zeynep Engin recieved a PhD on biologically plausible pattern localisation and parameter estimation on visual data from Imperial College London in 2009. Her research addressed issues of digital data representation and transformation estimations through a brain circuitry model.
She was also Assistant Coordinator of Imperial’s Cognitive Systems Network, a cross-disciplinary project bringing together researchers into both biological and machine cognition. During her PhD studies she was also Visiting Scholar at the Tokyo Institute of Technology, Japan, exploring research into machine learning and signal processing methods. She also holds an MSc in Information Engineering from City University London and a BSc in Mathematics from the University of Ankara, Turkey. In 2014-15 academic year, Zeynep also took a visiting researcher position at the Computer Laboratory, the University of Cambridge.
Data for Policy is an independent initiative to promote interdisciplinary and cross-sectoral discussion for more efficient use of data in policy making processes. The inaugural conference was held at the University of Cambridge in 2015, and the initiative receives further support from many prominent institutions including LSE, Imperial College, UCL, University of Oxford, Office for National Statistics, Royal Statistical Society and other key stakeholders. Zeynep is also affiliated with the Department of Computer Science at University College London as an honorary Senior Research Associate where she explores new tools and methodologies of Data Science applications in the policy/government space. Prior to this, Zeynep was a director of the London Centre for Social Studies from 2010 to 2015, where she convened the LCSS Public Policy platform. She hosted a number of research and policy meetings on the pressing social policy problems, led a number of training activities for early-career researchers and several community projects at grassroots level campaigning for greater social mobility through education and professional development.