Dr. Damian Borth
Dr. Damian Borth is the Director of the Deep Learning Competence Center at the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern, the Principle Investigator of the NVIDIA AI Lab at the DFKI, and founding co-director of Sociovestix Labs, a social enterprise in the area of
financial data science. Damian’s research focuses on large-scale multimedia opinion mining applying machine learning and in particular deep learning to mine insights (trends, sentiment) from online media streams. 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. Damian currently serves as a member of the review committee at the Baden-Würtemberg Foundation, the assessment committee for the Investment Innovation Benchmark (IIB) and several other steering- and program committees of international conferences and workshops. He is also a founding member the Financial Data Science Association and scientific director of the Certified Financial Data Science
Program at Deutsche Vereinigung für Finanzanalyse und Asset Management (DVFA). 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.