Event - FinTech - Data Challenges
An Imperial Business Partners FinTech event - 3 May
Join a stimulating discussion on Data Challenges led by four of Imperial’s visionary academics, at the forefront of the digital revolution.
At Imperial we have pioneered technologies, from cloud services to innovative payment apps, that change the way we interact with the world but which also sometimes know more about us than we like to admit.
You are invited to come and begin unravelling this complex set of issues with our academics and others from the FinTech industry.
Speakers - see website as more announced
Professor David Gann - Vice President – Innovation
Professor Gann is an academic, university leader, strategist and advocate, renowned for his work on innovation, entrepreneurship and technology management. His research spans strategy, management science and systems engineering. His distinctive strength is in building relationships proactively and internationally to connect ideas, research and solutions with substantial funding between academia, business and government. He plays a central role in developing the vision, strategy and innovation agenda for Imperial College’s 25-acre White City Campus and the development of new ventures such as Imperial College ThinkSpace. In 2015 he led a review of Imeprial’s Technology, Transfer, Translation and Collaboration activities, Pathways to Societal Impact.
Professor David Hand - Senior Research Investigator, Department of Mathematics
Professor Hand is Senior Research Investigator and Emeritus Professor of Mathematics at Imperial College London, where he formerly held the Chair in Statistics. He is also Chief Scientific Advisor to Winton Capital Management. He is non-executive director of the UK Statistics Authority and is Chair of the Board of the UK Administrative Data Research Network. He has published 300 scientific papers and 28 books, including Principles of Data Mining, Information Generation, Measurement Theory and Practice, The Improbability Principle and The Wellbeing of Nations.
Professor Alessandra Russo - Professor in Applied Computational Logic, Department of Computing
Professor Russo leads the Structured and Probabilistic Knowledge Engineering (SPIKE) research group. Her research interests are in the areas of Computational Logic, Logic-based Symbolic Learning, Probabilistic and Distributed Interference and their applications to Intelligent Adaptive Systems, Security, Network Management, Distributed Control Systems for Sensor Networks and System Biology. She is also Editor-in-Chief of the IET Software Journal, Associated Editor of the ACM Computing Survey Journal and Director of Postgraduate Research in the Department of Computing.
Dr Yves Alexandre de Montjoye - Lecturer in Machine Learning and Big Data Analytics, Data Science Institute
Dr de Montjoye joins Imperial from the Scalable Cooperation Group at the MIT Media Lab, where he worked as a Research Scientist working on reimagining the ways in which society organises, cooperates and governs itself, and the tools it uses to achieve this. Projects he has worked on in the past have included using big data for effective marketing, developing management frameworks for protecting the privacy of metadata, assessing the privacy bound of human mobility and proving the ease with which individuals can be re-identified using credit card data.
About IBP FinTech
Imperial Business Partners FinTech focuses its activities on the challenges of the financial sector and its intersection with disruptive technologies. Members are invited to participate in inspiring events and gain access to a multitude of other benefits such as on demand consultancy and showcases of our entrepreneurial students.
We take a unique approach to problem solving by bringing together world-class research professors with business strategists and influential policy makers. We combine academic excellence and business innovation to break new ground in technological forecasting and to generate powerful debate.
Please e-mail email@example.com to register your interest
Wednesday 3 May 2017
18:00 – 20:00 GMT