Piotr Mirowski is a Senior Research Scientist working in the Deep Learning department at DeepMind, focusing on navigation-related research and in scaling up agents to real world environments. Piotr studied computer science in France (ENSEEIHT, Toulouse) and obtained his PhD in computer science in 2011 at New York University, with a thesis on “Time Series Modeling with Hidden Variables and Gradient-based Algorithms” supervised by Prof. Yann LeCun (Outstanding Dissertation Award, 2011). Prior to joining DeepMind, Piotr worked at Schlumberger Research, at the NYU Comprehensive Epilepsy Center, at Bell Labs and at Microsoft Bing, on problems including geostatistics, geological image processing, epileptic seizure prediction from EEG, WiFi-based geolocalisation, robotics, NLP and search query auto-completion. In his spare time, Piotr performs theatre and improv, with or without robots on the stage, and investigates the use of AI for artistic human and machine-based co-creation.

Piotr Bojanowski is a research scientist at Facebook AI Research, working on machine learning applied to computer vision and natural language processing. His main research interest revolve aground large scale unsupervised learning. Before joining Facebook, in 2016, he got a PhD in Computer Science at the Willow team (INRIA Paris) under the supervision of Jean Ponce, Cordelia Schmid, Ivan Laptev and Josef Sivic. He graduated from Ecole polytechnique in 2013 and received a Masters Degree in Mathematics, Machine Learning and Computer Vision (MVA).

Wojciech Czarnecki is a Jagiellonian University graduate, holding a Phd degree from Faculty of Mathematics and Computer Science, awarded for work in the intersection of information theory and machine learning, done under supervision of prof. Jacek Tabor. While in Cracow, he became one of the initial members of GMUM (Special Interest Group on Machine Learning, located in Cracow, Lesser Poland), lead by prof. Jacek Tabor and dr hab. Igor Podolak. Currently, he holds a position of Senior Research Scientist at DeepMind, London AI company, best known for their achievements in the field of Deep Reinforcement Learning such as Deep Q-Networks and AlphaGo. His current research focuses on Multi-agent Deep Reinforcement Learning (MADRL), with most notable recent work on Capture the Flag project co-lead with Max Jaderberg and Iain Dunning.

Mateusz Malinowski is a Research Scientist at DeepMind. His work concerns Computer Vision and Natural Language Understanding, all 'spiced up' with Deep Learning. He has contributed towards various areas of Computer Vision, namely: Representation Learning, Image Recognition, and Image-to-Text Retrieval. His main contribution is, however, creating foundations and first methods that answer questions about images (Visual Question Answering). This work has gained a wide recognition in the research community. Mateusz has received PhD (summa cum laude) from Max Planck Institute for Informatics, and Saarland University, and received multiple rewards: Dr.-Eduard-Martin Dissertation for the outstanding PhD candidate at Saarland University, and DAGM MVTec for the outstanding dissertation in Machine Learning, Computer Vision, and Pattern Recognition in Germany / Austria / Switzerland.

Marek Kowalski is a Scientist in the Microsoft's Cognition team in Cambridge, where he works on HoloLens. He is also finalizing his PhD candidacy at the Warsaw University of Technology in Poland, advised by professor Wladyslaw Skarbek. Marek's dissertation is about robust methods for facial landmark localization (face alignment), his main research interests are in computer vision and machine learning applied to computer vision. In 2016 and 2017 Marek was an intern at Microsoft Research in Redmond, where he worked on 3D reconstruction for telepresence on Microsoft HoloLens (Holoportation). In the past he also worked on 3D reconstruction using multiple Kinect sensors and on face recognition. To see some of the projects Marek worked on, visit his GitHub page.

Karol Hausman is a Research Scientist at Google Brain in Mountain View, California working on robotics and machine learning. He is interested in enabling robots to autonomously acquire general-purpose skills with minimal supervision in real-world environments. His current research investigates interactive perception, deep reinforcement learning and imitation learning and their applications to robotics. He has evaluated his work on many different platforms including quadrotors, humanoid robots and robotic arms. He received his PhD in CS from the University of Southern California in 2018, MS from the Technical University Munich in 2013 and MEng from the Warsaw University of Technology in 2012. During his PhD, he did a number of internships at Bosch Research Center (2013 and 2014), NASA JPL (2015), Qualcomm Research (2016) and Google DeepMind (2017).

Mateusz Tarkowski is a senior data scientist at The Boston Consulting Group, where he develops advanced analytical tools to help tackle BCG clients' most pressing and difficult business problems. In his work, he has used techniques from machine learning and mathematical optimization to solve strategic and operational issues in the consumer goods sector. Mateusz received his Bachelor and Master’s degrees in computer science from the University of Warsaw, and his DPhil (PhD) degree at the University of Oxford. His research focuses on applying methods from cooperative game theory to network science problems, such as network centrality and link prediction.