Mcgill SSMU Ballroom Contact: [email protected] WA WOMEN in INNOVATION and ARTIFICIAL INTELLIGENCE

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Mcgill SSMU Ballroom Contact: Elisa.Ferreira@Mail.Mcgill.Ca WA WOMEN in INNOVATION and ARTIFICIAL INTELLIGENCE

mentors In order to inspire all the aspiring AI researchers, we will have a catered breakfast with the amazing mentors from our sponsor Maluuba, our partners Element AI and Aerial AI, and the Reasoning and Learning Lab from McGill University. Wendy Tay, Product Manager at Maluuba Layla El Asri , Research Manager at Maluuba Samira Ebrahimi Kahou, Researcher at Maluuba Negar Rostamzadeh, Research Scientist at Element AI Parmida Atighehchian, Applied Research Scientist at Element AI Perouz Taslakian, Applied Research Scientist at Element AI Pegah Kamousi, Applied Research Scientist at Element AI Negar Ghourchian, Senior Data Scientist at Aerial AI Monica Patel, McGill University Sumana Basu, McGill University W Charles Onu, McGill University Khimya Khetarpal, McGill University A WOMEN IN INNOVATION AND ARTIFICIAL INTELLIGENCE sponsor partners organized by WA WOMEN IN INNOVATION AND ARTIFICIAL INTELLIGENCE November, 13th | 9-11:30 | McGill SSMU Ballroom Contact: [email protected] WA WOMEN IN INNOVATION AND ARTIFICIAL INTELLIGENCE Women in Innovation and Artificial Intelligence intends to show keynote speaker women´s presence in important positions, where they can mix science, business and leadership, leading to innovation in the field of AI. Professor Doina Precup The event will consist in a lecture from a speaker that is an example of a consistent and successful scientific career and a position in Associate Professor of Computer Science at McGill University innovative industry in the AI field. Co-director of the Reasoning and Learning Lab in the School of This is followed by a “mentoring round”, where mentors will share Computer Science their experience and career paths with the participants during a Head of the DeepMind AI lab in Montreal breakfast. Doina Precup is one of the leading scientist in the field of machine learning. She is especially interested in the learning problems that face a SCHEDULE decision-maker interacting with a complex, uncertain environment. Doina uses the framework of reinforcement learning to tackle such 08:40 - 09:00 Doors open problems. Her current research is focused on developing better knowledge representation methods for reinforcement learning agents. 09:00 - 09:45 Keynote speaker Professor Doina Precup She is also more broadly interested in reasoning under uncertainty, and in 09:45 - 10:05 Invited speaker Layla El Asri the applications of machine learning techniques to real-world 10:05 - 10:15 Invited speaker Valérie Bécaert problems.en and collaborative approach between the public and private sectors. 10:15 - 11:30 Breakfast with speakers and mentors invited speakers Layla El Asri Research Manager at Microsoft Research Maluuba Valérie Bécaert Research Director at Element AI, Montreal.

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