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Talk 1 - Using Deep Learning to Unlock the Secrets of Gene Expression
Gracelyn Shi (Machine Learning Developer | TKS Innovator)
Talk 2 - Deep Learning for Self Driving At Uber ATG R&D lab
Inmar Givoni (Senior Autonomy Engineering Manager)
Talk 3 - Blockchain and AI
Drew Atkins (Senior Vice President and Founder The Jonah Group)
Talk 1 - Using Deep Learning to Unlock the Secrets of Gene Expression - Gracelyn Shi
Artificial intelligence has the power to unlock the secrets of gene expression. Gracelyn will talk about how deep learning can be used to analyze genetic data, specifically for predicting transcription factor-DNA binding. She will also talk about the implications of using deep learning to extract meaningful conclusions from genetic data and what it will mean for the future of the genomics industry.
Gracelyn Shi is a 15-year-old machine learning developer and genomics researcher. She is interested in the intersection of technology and biology, especially artificial intelligence and genetics. She has developed machine learning projects related to machine learning detection, fluorescently tagging cells, and predicting transcription factor-DNA binding. She has worked with companies such as Walmart and Wealthsimple on consulting projects. She is an incoming Junior Strategist on the Enterprise Analytics team at CIBC Digital.
Talk 2 - Deep Learning for Self Driving At Uber ATG R&D lab - Inmar Givoni
Inmar will talk to us about Deep Learning for Self Driving and she will cover some of the recent advancements from the Uber Toronto lab and their approach for taking it into production.
Bio: Inmar Givoni is a Senior Autonomy Engineering Manager at Uber Advanced Technology Group, Toronto, where she leads a team whose mission is to bring from research and into production cutting-edge deep-learning models for self-driving vehicles. She received her Ph.D. (Computer Science) in 2011 from the University of Toronto, specializing in machine learning, and was a visiting scholar at the University of Cambridge. She worked at Microsoft Research, Altera (now Intel), Kobo, and Kindred at roles ranging from research scientist to VP, Big Data, applying machine learning techniques to various problem domains and taking concepts from research to production systems. She is an inventor of several patents and has authored numerous top-tier academic publications in the areas of machine learning, computer vision, and computational biology. She is a regular speaker at AI events, and is particularly interested in outreach activities for young women, encouraging them to choose technical career paths. For her volunteering efforts, she has received the 2017 Arbor Award from UofT. In 2018 she was recognized as one of Canada’s 50 inspiring women in STEM. She has been featured in Toronto Life, The Globe and Mail, TWIML & AI podcast, ReWork’s list of 30 influential women in Canadian AI, UofT’s News, and other media venues.
Talk 3 - Blockchain and AI - Drew Atkins
The use cases for using Blockchain and AI technology together range from mundane data-sharing use cases to esoteric use cases like autonomous intelligent agents that own stuff and can’t be turned off.
Bio: Drew has over 20 years of experience in financial services and consulting. His strengths include object-oriented software development, use case analysis, financial reporting systems, profit and loss reporting, and project management. As Jonah Group's Financial Officer, Drew Atkins is responsible for the financial stewardship of the company including capital and operating budgets, financial affairs and treasury management.