Organizers.Email alias coming soon.
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Marwan Mattar is a Senior Manager, Machine Learning at Unity Technologies where he leads an applied machine learning research team. His team develops and maintains the popular ml-agents GitHub project and designed/built the Obstacle Tower Challenge. He completed his PhD in machine learning and computer vision at the University of Massachusetts, Amherst in 2013. Earlier this year, he was the Chair for the AAAI-2019 Workshop on Games and Simulations for AI.
Twitter: @marwanmattar Email: firstname@unity3d.com |
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Arthur Juliani is a Senior Machine Learning Engineer at Unity Technologies, where he has worked as a founding member of the ml-agents GitHub project as well as the leader of the Obstacle Tower project. He is also currently a PhD candidate in Cognitive Neuroscience at the University of Oregon, where he studies computation models of spatial representation learning in humans.
Twitter: @awjuliani |
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Danny Lange is Vice President of Artificial Intelligence at Unity Technologies where he leads efforts to advance the capabilities of AI through scalable game simulations. Prior to his role at Unity, Danny was the head of Machine Learning at Uber where he lead the development of the company’s Machine Learning platform. Previously, he was General Manager for Machine Learning at Amazon where he managed Amazon’s internal Machine Learning platform as well as launched the first AI product for Amazon Web Services (AWS) known as Amazon Machine Learning. Danny has also lead Machine Learning efforts at Microsoft and started his career building autonomous agents as a Computer Scientist at IBM Research. Earlier this year, he also co-organized the AAAI-2019 Workshop on Games and Simulations for AI.
Twitter: @danny_lange |
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Matthew Crosby works at the Leverhulme Centre for the Future of Intelligence at Imperial College London. He completed his PhD in multiagent planning in 2014 and since then has transitioned through cognitive robotics to working on understanding cognition in Deep Learning. He is currently running the Animal-AI Olympics competition translating animal cognition tests for AI. He is experienced at organizing large events and was a co-organizer of the NeurIPS Kinds of Intelligence symposium in 2017 and lead organizer of the 3-day kinds of intelligence: machine minds conference in Cambridge this year.
Twitter: @MaCroPhilosophy |
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Benjamin Beyret is part of the Leverhulme Centre for the Future of Intelligence at Imperial College London. He obtained an MSc in computer science in 2011 before starting a career in the financial industry, he then returned to academia in 2017 to complete an MSc in machine learning at Imperial College. He presently works as lead developer on the Animal-AI Olympics.
Twitter: @BenBeyret |