Hosted by Microsoft Research Maluuba & IVADO
Microsoft Research Maluuba & IVADO invite you to an evening cocktail event of presentations by women in data science and machine learning. Come learn about the opportunities for women in data science & machine learning at Microsoft Research Maluuba and IVADO.
As a scientist-turned-product-manager, Wendy was at Thomson Reuters in Minnesota and New York for a few years working on products in the legal, finance, and compliance industries. She then joined Microsoft as a Program Manager on Azure’s Microsoft Graph (developer APIs) team in Redmond. She is now a Program Manager on Microsoft Research Maluuba’s team in Montreal, Canada.
By Gita Ghiasi, Ph.D. Candidate Department of Mechanical, Industrial & Aerospace Engineering (MIAE), Concordia University
Gita Ghiasi is a Ph.D. Candidate with the Department of Department of Mechanical, Industrial & Aerospace Engineering at Concordia University, and the Interuniversity Centre on Science and Technology (CIRST). Her dissertation focuses on equity, equality, and development challenges of new technologies. Specifically, her research looks at the intersection of economic and gender inequality and examines the role of women in advancements of new technologies. Her research findings have been featured in several media outlets, including Nature, Science, Gadgette and Wired.
Aurélie Labbe is a mathematician and biostatistician. She holds a Master's in Statistics from the Université de Montréal and a PhD in the same discipline from the University of Waterloo. She has devoted over 15 years to developing statistical tools for big data, with applications in genomics and neuroscience. Her research interests today are intelligent transportation systems, especially in cities, in connection with traffic management and road safety. Aurélie joined the Department of Decision Sciences at HEC Montréal in September 2016.
Layla El Asri is a Research Manager at Microsoft Research Maluuba teaching machines to think, reason and communicate with humans. Her work explores artificial intelligence in the context of language understanding, dialogue and human-machine interaction. Layla leads a team seeking to build artificial intelligence systems that are knowledgeable and can exchange information with users to help users accomplish tasks or gain knowledge. Layla completed her PhD at Université de Lorraine in France.
Maluuba is a Microsoft company teaching machines to think, reason and communicate.
We demonstrate progress by focusing on challenging problems, driving new techniques in reinforcement learning with a focus on machine comprehension and conversational interfaces. Our vision is to solve 'Artificial General Intelligence' by creating literate machines that can think, reason and communicate like humans.
IVADO was created out of an academic and industrial initiative as part of Campus Montréal, which brings together HEC Montréal, Polytechnique Montréal and l’Université de Montréal. The centre’s key early members in the corporate sector are Hydro-Québec, CAE, Cogeco, Thales and Gaz Métro from the industry and GERAD, CIRRELT, MILA, the Department of Computer Sciences and Operations Research at Université de Montréal, the Department of Mathematics and Industrial Engineering at Polytechnique Montréal and the Department of Decision Sciences at HEC Montréal in the academic sector.
