Dr Damian Borth
Director of Deep Learning Competence Center & Head of Multimedia Analysis & Data Mining at German Research Center for Artificial Intelligence (DFKI)
Dr Damian Borth is the Director of the Deep Learning Competence Center at the German Research Center for Artificial Intelligence (DFKI), the Principle Investigator of the NVIDIA AI Lab at the DFKI. Damian’s research focuses on financial data science, machine learning, and deep learning. His work has been awarded by NVIDIA at GTC Europe 2016, the Best Paper Award at ACM ICMR 2012, the McKinsey Business Technology Award 2011, and a Google Research Award in 2010. He is also a founding member of the Financial Data Science Association. Damian did his postdoctoral research at UC Berkeley and the International Computer Science Institute (ICSI) in Berkeley where he was also involved in big data projects at the Lawrence Livermore National Laboratory. He received his PhD from the University of Kaiserslautern and the German Research Center for Artificial Intelligence (DFKI). He was also a visiting researcher at the Digital Video and Multimedia Lab at Columbia University in 2012.
Dr Andreas Hoepner
Associate Professor of Finance at the ICMA Centre of Henley Business School
He is currently also heading the ‘Practical Tools’ research group of the Mistra Financial Systems (MFS) research consortium. Dr Hoepner serves as the inaugural chair of the Financial Data Science Association and sits on independent assessment committees for the Investment & Pensions Europe (IPE) Awards, the Investment Innovation Benchmark (IIB), and the RI Awards. He sits on advisory boards for Bank J. Safra Sarasin, the Carbon Disclosure Project (CDP) and French Social Investment Forum (FIR).
Andreas received his PhD from St Andrews in June 2010, where he was on faculty 2009 to 2013 and built up the Centre for Responsible Banking and Finance as its Deputy Director. He is founding co-director of a social enterprise (Sociovestix Labs, a spin-off from the German Research Centre for Artificial Intelligence [DFKI]).
Dr Hoepner’s financial data science research has made him sole inventor of the US patent investment performance measurement (No. US8751357 B1)