Lukasz’s research focuses on deep learning applied to natural language processing, and he has recently been working on the use of attention models and transfer learning. Lukasz is a key contributor to Tensor2Tensor, an open-source TensorFlow library containing implementations of several state-of-the-art neural models. He earned a PhD from RWTH Aachen in 2008 and Master’s degrees in mathematics and computer science from the University of Wroclaw in 2003.

Riccardo Sabatini is a world renown scientist and entrepreneur specialized in numerical modeling of complex system, ranging from material science, financial markets, computational genomics and drug design.
Speaker at international events and conferences, including TED and WEF.
Author in top ranking scientific journals, consultant for Fortune500 companies, inventor of several patents in biotech and IT, angel investor and board member for some groundbreaking startups in the field of artificial intelligence.
Today he’s working on how to solve drug design at genomic scale with his company, Orionis Biosciences.

Max Pumperla is a data scientist and engineer specialising in deep learning and its applications.
He currently works as a deep learning engineer at Skymind and is a co-founder of aetros.com.
Max is author and maintainer of several Python packages, including elephas, a distributed deep learning library using Spark.
His open source footprint includes contributions to many popular machine learning libraries, such as keras, deeplearning4j, and hyperopt.
He holds a PhD in algebraic geometry from the University of Hamburg.