november, 2021
Event Details
Abstract:Climate change is the biggest challenge we are facing as a society. Artificial Intelligence and Machine learning have the potential to decouple the economic growth from rising
Event Details
Abstract:
Climate change is the biggest challenge we are facing as a society. Artificial Intelligence and Machine learning have the potential to decouple the economic growth from rising carbon emissions and environmental degradation. In this panel, we will discuss various aspects and arenas where AI can be applied for climate action, mitigation and adaptation. From the latest state of the art research in predicting wildefire and hurricanes, applying latest NLP techniques for making impactful financial decisions that accelerate climate mitigation and using machine learning to track supply chain greenhouse gas emissions to manage their transition to the low-carbon economy.
What You’ll Learn:
– Latest in research for climate adaptation
– Challenges in bridging the gap between research and applications of ML in Climate change domain
– Call for collection climate action for ML community
Alik’s professional background is in consulting, as a machine learning technical lead with Deloitte’s Omnia AI group, and venture capital as a research associate in one of Peter Thiel’s funds. Alik is also a seasoned AI project leader and educator in the machine learning field, having taught and development the machine learning course at the University of Toronto Master’s of Mathematical Finance program, as well as many workshops and classes around the world. Alik is also working on a PhD at the University of Toronto, studying applications of machine learning in quantitative finance, including for ESG research, and he has several publications backing the technology of SR.ai.
Dr. Deval Pandya is Director of AI Engineering at Vector Institute and one of the 100 Global Future Energy Leaders with the World Energy Council. He is passionate about building Responsible Artificial Intelligence and Machine learning systems for expediting energy transition and combating Climate Change. Deval also serves as a Director on the technical steering committee of Moja Global, A not for profit, collaborative project that brings together a community of experts to develop open-source software under Linux Foundation used for country level greenhouse gas accounting from AFOLU sector. Prior to joining Vector, Deval was leading the Data Science team at Shell focusing on application in New Energies and Asset management. During his career, he has led development of scalable machine learning applications in the domains of nature-based solutions, predictive maintenance, e-mobility, microgrid optimizations and hydrogen value chain.
Deval is on the task force for Digitalization in Energy at United Nations Economic Commission of Europe (UNECE) and mentor at Creative Destruction Labs. He enjoys traveling and cooking in his free time.
Archy completed a PhD in neuroscience before moving into commercial data science. He has held a variety of ML and product roles, leaving Element AI in June 2020 to focus on climate change work. He currently leads data science at CarbonChain, building automated carbon footprinting tools.
Samira is an Associate Professor at ÉTS and an adjunct Professor at McGill. Before joining ÉTS, she was a postdoctoral fellow working with Professor Doina Precup at McGill/Mila. Before her postdoc, she was a researcher at Microsoft Research Montréal.
She received her Ph.D. from Polytechnique Montréal/Mila in 2016 under the supervision of Professor Chris Pal. During her Ph.D. studies, she worked on computer vision and deep learning applied to emotion recognition, object tracking and knowledge distillation.
Her current research interests are:
– Reinforcement Learning
– Multi-modal Learning
– Medical Imaging
– Climate Modelling and Disaster Response
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Time
(Wednesday) 4:05 PM - 4:50 PM
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