Speakers 2019
Razvan Peteanu
Lead Architect, ML, TD Securities
Scaling Machine Learning; Choosing the Right Approach
Simona Gandrabur
Sr. Director, AI Lead of the Wealth Division, National Bank of Canada
Panel: Determining Which ML Opportunities You Should Prioritize
Rupinder Dhillon
Chief Data Officer, SVP Data & AI, Hudson’s Bay Company
Determining Which ML Opportunities You Should Prioritize
Ofer Shai
Chief AI Officer, Deloitte Canada
Determining Which ML Opportunities You Should Prioritize
Daniel Weimer
Head of AI, Group Volkswagen of America
Talk: Transformation from Research Lab to Product Centers
Jaya Kawale
Senior Research Scientist, Netflix
Talk: Multi Armed Bandit Approaches for Recommendations at Netflix
Full Speaker List:
- Ian Scott, Partner, Chief Data Scientist, Deloitte – Fail to Scale: 5 Challenges to Implementing AI and How to Solve Them
- Michael Zhang, Researcher, University of Toronto & Vector Institute – Lookahead Optimizer: k steps forward, 1 step back
- Laila Paszti, Of Counsel, Norton Rose Fulbright – In Data We Trust: Data Governance Strategies for Data Projects
- Niki Athanasiadou, Data scientist, H2O.ai – Applications of AI in Medicine: Roadblocks and Opportunities
- Layli Goldoozian, Data Scientist RBC – Trustworthy AI: Model Validation at Scale
- Lucy Liu, Director, Data Science & Analytics Team, RBC – Trustworthy AI: Model Validation at Scale
- Bahador Khaleghi, Customer Data Scientist and Solution Engineer, H2O.ai – An Explanation of What, Why, and how of Explainable AI (XAI)
- Ihab Ilyas, Founder, Professor, Tamr, University of Waterloo – HoloClean: A Scalable Prediction Engine for Automating Structured Data Prep
- Chanchal Chatterjee, Leader in Artificial Intelligence Solutions, Google – Lessons from Google’s Journey to AI- First
- Chang Liu, Applied Research Scientist, Georgian Partners – Building Private Machine Learning Models with TensorFlow
- Satya Krishna Gorti, Machine Learning Scientist, Layer 6 AI – Temporal Concept Localization on YouTube 8M Dataset
- Azalia Mirhoseini, Senior Research Scientist, Google Brain – Machine Learning for Systems
- Ted Graham, Head of Open Innovation, GM – Autonomous Driving and the Future of Mobility
- Steven Lake Waslander, Associate Prof, University of Toronto – Autonomous Driving and the Future of Mobility
- Kenny Daniel, Founder, Algorithmia – DevOps for Machine Learning and other Half- Truths: Processes and Tools for the ML Life Cycle
- Sheldon Fernandez, CEO, DarwinAI – Explaining Explainability- Demystifying the Black Box of Deep Learning
- Sunil Sharma, Managing Director, Techstars Toronto – Debate: Is Sidewalk Labs a net gain for the city?
- Brian Kelcey, VP Policy & Public Affairs, Toronto Region Board of Trade – Debate: Is Sidewalk Labs a net gain for the city?
- Mike Cook, President, Identos Inc. – Debate: Is Sidewalk Labs a net gain for the city?
- Ann Cavoukian, Executive Director, Global Privacy & Security by Design Centre – Debate: Is Sidewalk Labs a net gain for the city?
- Amit Jain, Machine Learning Team Lead TradeRev – Rearchitecting Legacy Machine Learning Systems
- Kathryn Hume, Director of Product & Business Development, Borealis AI – Keynote
- Jordan Jacobs, Founder, Radical Ventures, Co-Founder, Vector Institute – Keynote
- Darin Graham, Director, R&D Strategy & Operations, Toronto AI Lab, LG – Keynote
- Jian Chang, Senior Algorithm Expert, Alibaba Group – BI Analytics Through Time Series Data
- Vladimir Iglovikov, Senior Computer Vision Engineer, Lyft – Technical Talk TBA
- Raj Verma, Senior Staff Engineer, Uber – Using Machine Learning in Revenue Forecasting and Planning
- Daniel Weimer, Head of AI, Volkswagen – Transformation from Research Lab to Product Centers
- Tomi Poutanen, Co-founder, Co- Founder, Layer6, Vector Institute – Determining Which ML Opportunities You Should Prioritize
- Jaya Kawale, Senior Research Scientist, Netflix – Multi-Armed Bandit Approaches for Recommendations at Netflix
- Trishala Pillai, Partnerships Lead, Myplanet – Determining Which ML Opportunities You Should Prioritize
- Ofer Shai, Chief AI Officer, Deloitte Canada – Determining Which ML Opportunities You Should Prioritize
- Chris Wiggins, Chief Data Scientist, NY Times – Applied Machine Learning at New York Times
- Rupinder Dhillon, Chief Data Officer, SVP Data & AI, Hudson’s Bay Company – Determining Which ML Opportunities You Should Prioritize
- Nicholas Frosst, rSWE, Google Brain – Adversarial Examples and Understanding Neural Network Representation Space
- Marzyeh Ghassemi, Researcher, Vector Institute – Research Talk TBA
- David Duvenaud, Assistant Professor, UofT – Neural Stochastic Differential Equations
- Razvan Peteanu, Lead Architect, ML, TD Securities – Scaling Machine Learning; Choosing the Right Approach
- Helen Ngo, ML Engineer, Dessa – Creative Ways to Collect & Use Data
- William Falcon, Facebook AI Research, NYU – Scaling up PyTorch with PyTorch Lightning
- Simona Gandrabur, Sr. Director, AI Lead, National Bank of Canada – Determining Which ML Opportunities You Should Prioritize
- Patrick Halina, Software Architect/ML Engineering Manager, Zynga – Deep Reinforcement Learning at Zynga: Overcoming the challenges of using RL in production
- Nazneen Rajani, Research Scientist, Salesforce Research – Explain Yourself! Leveraging Language Models for Common Sense Reasoning
- John Boersma, Director of Education, DataRobot – Machine Learning & AI for Executives Seminar
- Faraz Rasheed, Senior AI Architect, Microsoft Canada – Building Sentiment Classifier using Deep NLP
- Shariyar Murtaza, Senior Data Scientist, Manulife Financial – Building Sentiment Classifier using Deep NLP
- Chakri Cherukuri, Senior Researcher, Bloomberg LP – Interactive Visualization Approaches In Jupyter Notebooks
- Jill Cates, Data Scientist, BioSymetrics – Building a Binary Classification ML Model To Predict Hospital Readmission in Patients with Diabetes
- Max Tian, Machine Learning Specialist, GoldSpot Discoveries Corp – Leveraging Transfer Learning to Improve Natural Language Processing
- Chitta Ranjan, Director of Science, ProcessMiner, Inc. – Rare Event Prediction with Deep Learning
- Ajinkya Kulkarni, Senior Director, RBC – Building a Data Science Team
- Afsoon Soudi, Senior Manager, Data Science and Machine Intelligence, CBC – Building a Data Science Team
- Garrett Smith, Founder, Guild AI – Clean Coding for Machine Learning Projects
- Christine Gerpheide CTO, Bespoke Inc – Create a Chatbot from Scratch Using NLP and ML
- Farnoosh Khodakarami, Researcher, Princess Margaret Cancer Centre, – Machine Learning In Healthcare: Using ML to Work with Genomic and Radiomic Data
- Seyed Ali Madani Tonekaboni, ML Specialist, Cyclica – Using ML to Work with Genomic and Radiomic Data
- William Falcon, Creator of Pytorch Lightening, Facebook AI Research, NYU – Scaling up PyTorch with PyTorch Lightning
- Paul Finlay, Machine Learning Lead,Xanadu – A Practical Guide to Trustworthy AI: Hands-On with Silver Hammer
- Ofer Shai, Chief AI Officer, Deloitte Canada – Determining Which ML Opportunities You Should Prioritize
- Hoyoung Jang, Data Scientist, ThinkData Works – A Flexible Framework for Entity Resolution
- Sarah Sun, Chief Data Strategist, GoldSpot Discoveries – Creative Ways to Collect and use Data
- Helen Kontozopoulos Co-Founder, ODAIA.AI – Creative Ways to Collect and use Data
- Rogayeh Tabrizi, CEO, Theory & Practice – Creative Ways to Collect and use Data
Women In Data Mentors
- Christina Cai, Co-Founder & COO, Knowtions
- Paula Hodgins, President, Hewlett Packard Enterprise
- Zoe Katsimitsoulia, Senior Data Scientist, Nudge.ai
- Susan Chang, Data Scientist, Bell Canada
- Nour Fahmy, Data Scientist, #paid
- Helen Ngo, Machine Learning Engineer, Dessa
- Serena McDonnell, Senior Data Scientist, Delphia
- Rupinder Dhillon, Chief Data Officer, Hudsons Bay Company
- Carla Margalef Bentabol, Director of Engineering & Machine Learning, Village Technologies
- Cecilia Liu, Senior Data Scientist, Wattpad
- Helen Kontozopoulos, Co-founder, Odaia.ai
Poster Sessions
- Peter Starszyk, Data Scientist, PeakPower
- Harris Chan, Graduate Student, Vector & UofT
- Neda Navidi, ML researcher, AI-r
- Hoora Fakhrmoosavy, Data scientist & student in Big data & Data Analytic Program, Ryerson University
- Angus Galloway, PhD Student in Machine Learning, University of Guelph
- Farukh Jabeen, Research Scientist, Computation, Science Research and Development
- Jonathan Lorraine, Graduate Researcher, Vector & UofT
- Gavin Weiguang Ding, Senior Researcher, Borealis AI
- Sicong Huang, Undergrad Research Student, UofT
- Paul Vicol, Graduate Student, Vector & UofT
- Dr. Joseph Geraci, CEO, NetraMark Corp
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