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Adam R. Kosiorek is a Research Scientist at Google DeepMind in London. His research interests include unsupervised representation learning, particularly learning object-centric representations from images and videos without supervision, and generative modelling. He is also interested in inference methods for probabilistic generative models. Previously, Adam interned at Google Brain in Toronto with Geoff Hinton, where he developed Stacked Capsule Autoencoders. He received his Ph.D. from the University of Oxford, MSc from the Technical University of Munich and BSc from the Warsaw University of Technology. In his free time, Adam likes reading books and training calisthenics.

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Karol Kurach is a Chief Technology Officer at Cosmose, trying to understand and predict how 1 billion people shop offline. Before Cosmose, he was a Research Lead at Google Brain, focusing on projects related to Reinforcement Learning, GANs and sequential models. He is also a co-author of intelligence systems inside Gmail, such as Smart Reply and Categories (a.k.a. Tabs). During his PhD at the University of Warsaw, he worked on deep neural architectures with external memory, in collaboration with researchers from Brain and OpenAI. Winner of many programming competitions, including 24h coding marathons. He represented Poland and was an European Champion & ACM ICPC World Finals silver medalist.

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Barbara Fusińska, AI Services Lead in EMEA ( Machine Learning Strategic Cloud Engineering ) at Google, is a Data Scientist with strong software development background. She graduated from AGH University of Technology and Science with a Computer Science degree. She gained experience building diverse software systems while working with a variety of technology companies including Microsoft and Katacoda. These experiences have brought her focus to the Data Science and Big Data field. She believes in the importance of the data and metrics when growing a successful business.

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Adrian Łańcucki is a Senior Deep Learning Engineer at NVIDIA Poland. He received his PhD in Machine Learning in 2019 from University of Wrocław. His research interests include NLP, most recently text-to-speech, speech recognition, and representation learning. In 2017 his team ranked 1st ex aequo at the NIPS 2017 Conversational Intelligence Challenge. Briefly visited at NYU, did a research internship at Microsoft, participated in the JSALT summer workshop.

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Mikołaj Bińkowski is a Research Scientist at DeepMind and a PhD student at Imperial College London. His research has focused mostly on various aspects of Generative Adversarial Networks, including training objectives, evaluation and their application to new domains such as speech synthesis. Previously, he interned at Google Brain Amsterdam and at Montreal Institute for Learning Algorithms, where he worked with Aaron Courville on image-to-image transfer. He holds an MSc in Financial Mathematics from the University of Warsaw, and a BSc in Mathematics from the Jagiellonian University.