100+ Past Speakers
TMLS Team
DAVID sCHARBACH, Director, founder tmls
Amir Feizpour, Data Scientist, Scientific Advisor, rbc
Tina Aprile, entrepreneur, Organizer tmls
April Grace de las Alas, structural coordinator, tmls
Diego Cantor, Ph.D, head of presentations TMLS, Founder, CTO, EZRA
Sean Robertson, ASSOCIATE, syntegrity
Amy Mansell, Organizer tmls, project manager, lighthouse labs
MAECY SANTOS, EA TMLS
Faraz thambi, maRKETING & PARTNERSHIPS
Maria D'Angelo, ph.d, Head of diversity & Inclusion Programs tmls, Data Scientist, delphia
Reena Shaw, hEAD OF EDITORIAL CONTENT TMLS, Lead data scientists, agile blockchain
Julia Mariglia, MANAGER TMLS NEWSLETTER
TMLS 2018 Steering Commitee
FRANK RUDZICK, 2018 TMLS CHAIRMAN. ASSOCIATE PROFESSOR, UNIVERSITY OF TORONTO, DEPARTMENT OF COMPUTER SCIENCE
Michael Guerzhoy, Senior Data Scientist, Research, and Training, St. Michael's Hospital, aSSISTANT PROFESSOR Utoronto
Laleh Soltan Ghoraie,
tmls poSTER SESSION CHAIR, Machine Learning Researcher at Borealis AI, Affiliate, Vector Inst.Devinder Kumar, tmls poSTER SESSION CHAIR, ML PhD Candidate at UWaterloo & Vector Inst. | Lead AI Scientist, NextAI
Ali Harakeh,ML PhD Candidate at University of Toronto Institute for Aerospace Studies (UTIAS)
Asif Ahmed,Senior Financial Analyst, The Home Depot
Laila Paszti, Attorney, AI Software Engineer
Lina Ismail, Managing Partner, thinki3
Ajinkya Kulkarni,Director, Artificial Intelligence and Machine Learning, scotiabank
Rupam Mahmood,
AI Research Lead, Kindred.aiMatt McInnis, Data Scientist, Customer Success Unit, Microsoft
Susie Pan, Product Lead, RBC Ventures
Jeremie Harris, Co-Founder, SharpestMinds
Pavan Singh, Director
Business Intelligence & Analytics, FirmexAsaf Inger,VP Engineering at BenchSci
Geoffrey Hunter,
Data Science Manager at UberflipRamy Nassar, Director, Retail innovation lab, Mattel, Inc.
Amir massoud Farahmand, Faculty Member at Vector Institute
Max Huang, Data Scientist, Cerebri AI
Alex Milodowski, Senior Manager, Client Analytics at Aimia Inc
Elham Dolatabadi,
Machine Learning, Data Scientist, RBCCatherine CheN,
founder & ceo, IG Liaison Strategy & Business ConsultingDiederik van Liere,
Director of Data Science and Engineering, Shopify,Ozge Yeloglu,Chief Data Scientist, Customer Success Unit at Microsoft Canada
For Sponsorship availability please email info@torontomachinelearning.com.
Why attend TMLS?
Machine Learning and Artificial Intelligence are unlocking unprecedented business advantage and delivering exciting, rewarding careers. Despite the vast opportunities that lie in our data, there are also explicit challenges to harnessing them effectively.
To address these challenges and to foster the growth of ML/AI in Toronto we have gathered the top insights, expertise and do's-and-don'ts from our community of over 6,000 local members to create 4 parallel tracks over 3 days: for Business Leaders, and Practitioners.
Business Leaders, including C-level executives and non-tech leaders, will explore immediate opportunities, and define clear next steps for building their business advantage around their data.
Practitioners will dissect technical approaches, case studies, tools, and techniques to explore Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML and more.
The content will be practical, non-sponsored, and tailored to our local eco-system. TMLS is not a sales pitch - It's a connection to a deep community that is committed to advancing ML/AI to deliver value and exciting careers for Canadian Businesses and Individuals
Attendees
Business Leaders, including C-level executives and non-tech leaders, will explore immediate opportunities, and define clear next steps for building their business advantage around their data.
Practitioners will dissect technical approaches, case studies, tools, and techniques to explore Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML and more.
Attendees from 2017-18 Events
2018 Attendee Demographics
2017-2018 Attendee Titles
Deep Community
The work we do extends both before and after the Toronto Machine Learning Summit. We bring the community together for:
Toronto Machine Learning Micro-Summit's: practitioner-driven gatherings, speakers share real successes and failures in the world of Machine Learning.
Toronto Deep Learning Seminar (TDLS): for advanced scientists to understand the latest advances
CTO/CIO Breakfasts: for business leaders to explore their challenges in an intimate setting with experienced AI implementers
Machine Learning Transition Programs: placing practitioners and PhD's on co-op projects that translate to full-time employment
Join the Community List and newsletter
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Daniels Spectrum operates as a social enterprise with a special mandate to support culturally diverse and inclusive events.
DANIELS sPECTRUM
585 Dundas St E, Toronto, ON M5A 2B7
5 min drive from Yonge & Dundas. 20 minute walk. 10 min streetcar.
By TTC
Daniels Spectrum can be accessed via TTC by taking the 505 Dundas Streetcar to Sackville Street. You can also take the 95 Parliament Bus to Dundas Street and walk 500m east.
Parking
Paid public parking is available in the underground lot beneath Daniels Spectrum. Parking costs a flat rate of $10 per day. There is also free parking along Dundas St. West between 9am and 4pm.
