Sefan Kühn, Lead Data Scientist, codecentric

Dr. Stefan Kühn is Lead Data Scientist at codecentric. Together with his team he is developing robust, fast and intelligent algorithms and is applying modern machine learning methods for analyzing large datasets. Before codecentric he was a researcher in the Scientific Computing Group at the Max Planck Institute for Mathematics in the Sciences Leipzig with a focus on Tensor Approximation and Higher-Order Singular Value Decomposition. 

Ira Cohen, Chief Data Scientist, Anodot

Ira is the chief data scientist at Anodot, working on learning algorithms for analyzing time series signals at large scale - from anomaly detection, clustering and prediction. Prior to Anodot, Ira was Chief Data Scientist at HP Software, defining and developing advanced data analytics & big data initiatives. Before that Ira was a senior researcher at HP Labs, leading R&D in machine learning and data mining for analyzing large scale event streams. He is the author of numerous patents and publications and holds a PhD in Electrical and Computer Engineering from the University of Illinois at Urbana Champaign.