Toronto Machine Learning Society

About Us

  • The Toronto Machine Learning Society (TMLS) helps unite and support the Canadian AI Ecosystem.
  • With an explorative approach our initiatives address the unique needs of our community of over 10,000 ML researchers, professionals and entrepreneurs. Intended to empower its members and propel AI Research, & Business Applications on a global stage, TMLS is re-imagining what it means to have a connected community; offering support, growth, inclusion for all members, and unique collaborations across various academic, and industrial communities.
  • TMLS partner initiatives support:
  • Education and career development
  • Identification of business opportunities
  • Unique local and global partnerships
  • Hiring and talent building
  • Diversity and inclusion

Picture: TMLS Volunteering Team 2019

2025 Committee Members

Conference Co-Chairs
  • Suhas Pai, CTO, Hudson Labs
  • Denys Linkov, Head of ML, Wisedocs
  • David Scarbach, Chief Executive Director, TMLS
Track Leads
  • Aditya Vikram Singh, Senior ML Engineering Specialist, Track lead for Data Preparation and Processing
  • Alexis Rotureau, Data scientist, Roche, Track lead for MLOPS for smaller teams
  • Aman Khan, Director of Product, LLM @ Arize AI, Track lead for Careers
  • Chris Alexiuk, Co-founder & CTO, AI Makerspace, Track lead for Agents Zero to Hero and Advanced RAG
  • Himanshu Joshi, Applied AI – Vector Institute, Track lead for Exec Track
  • Irina Sedenko, Executive Technical Counselor, Data and AI, Track lead for AI ethics and governance within the organization
  • Khaled Ammar, Senior Leader, Data Science – Rocket Companies, Track lead for Vertical Enterprise AI agents in Production
  • Mandy Gu, Senior Engineering Manager @ Wealthsimple, Track lead for AI for productivity enhancements
  • Meg Risdal, Senior Product Manager, Kaggle, Track lead for Negative Results
  • Mehdi Saeedi, Principal Staff, AMD, Track lead for Hardware Platforms
  • Moughees Ahmed, ML Engineer @ Rime Labs, Track lead for Multimodal LLMs
  • Yuxi Li, Co-Founder, AI4All Institute, Track lead for Future Trends
  • Abhimanyu Anand, Data Scientist, Wattpad, Track lead for Inference Scaling
Committee Members
  • Aishwarya Gopal, Data Scientist/ Chubb Insurance Company of Canada
  • Alex Shpurov, ArtiFirm Inc. Founder.
  • Ali Abedi, Ph.D. Candidate and AI Researcher
  • Ali Waheed, ML Engineer @ Telus
  • Alok Shankar, Senior Engineering Manager, Adobe
  • Anupama Garani, Senior Data Analyst at PIMCO
  • Arman Didandeh, Global VP of Data & AI Products, Monks
  • Arup Saha, Director, Mobile Development, GenAI Professional
  • Asad Norouzi, Principal AI Scientist | Team Lead @ LeddarTech / Professor @ Seneca Polytechnic
  • Asif Ahmed, Senior Product Manager, Enterprise Digital & AI Enablement – CIBC
  • Atri Mahapatra, Senior Manager, Data Science Kraft Heinz
  • Can Kavaklioglu, Director of Machine Learning
  • Carlos Dominguez, CGI Inc – Security Director, Global Security
  • Debadyuti Roy Chowdhury, VP Product Management, InfinyOn
  • Dolu Obatusin, Machine Learning Engineer, Apple
  • Doneyli De Jesus, Principal AI Architect @ Snowflake
  • Dr. Afsoon Soudi, Assistant Professor, Toronto Metropolitan University
  • Eric Broda, Founder, Broda Group Software Inc.
  • Eric Cai, Senior Data Scientist at Acosta
  • Farhad Sadeghlo, Lead Machine Learning Engineer, Omdena Inc.
  • Filipe do Rego Barros Luz, Lead Data Scientist at Cast Group
  • Gaurav Mahajan, Principal Data Science at Independent Consultant
  • Hamed Haddadpajouh, Cybersecurity Professor, CEO of LiboBerry
  • Hamza Farooq, CEO & Founder Traversaal.ai, Adjunct Professor at Stanford, UCLA, Oxford and MIT
  • Hanieh Arjmand, Senior ML Researcher, Lydia.ai
  • Harminder Singh, Staff Data Engineer, Mufg Bank
  • Heathcliff Lewis, Director of Interconnected Analytics and Data Science, Home Depot
  • Helena Yu, Principal Consultant Data & AI, Calian ITCS
  • Homa Fashandi, Senior Staff AI Research Scientist, LG Toronto AI Lab
  • Hoora Fakhrmoosavy, Senior Manager Data science – Gen AI
  • Imran Sheriff, Senior Program Manager, AI and Automation, Telus
  • Jekaterina Novikova, Science Lead
  • Jessie Lamontagne , Director, Data Strategy and Analytics
  • Junwei Huang, Principal Data Scientist @ Mastercard
  • Karthik Dulam, Principal/Senior Director, Data Analytics and AI
  • Karthik Kuber, Engineering Manager (Applied ML) at Yelp, Adjunct Professor (Dept of CS), UofT
  • Kumaran Ponnambalam, Principal AI Engineer
  • Marcos Esteban Soto, Lead Senior Machine Learning Engineer
  • Mario Lazo, AI Program Lead at UiPath
  • Mayan Murray, Senior Managing Consultant, Integrated AI Governance
  • Mehrin Kiani, Protect AI – ML Scientist
  • Mustafa Alghali, Head of AI @ AmplifAI Health
  • Nausheen Fatma, Data Scientist, Loblaws
  • Navita Singh, Data Science Manager
  • Nicky Bayat, Senior Data Scientist at Clarivate
  • Patrick Marlow, Product Manager, Google
  • Piyush Tiwari, Senior Manager Data and AI Platform
  • Prateek Jain, Senior Manager ML/ Data Engineering – SSENSE
  • Preeti Hemant, Director, Data & ML – Wattpad
  • Preetika Srivastava, Senior Advisory Data Scientist, IBM
  • Pushkar Garg, Staff Machine Learning Engineer, Clari
  • Raj Utraja, Founding CTO, Persisto.ai
  • Raphael Taiwo Alabi, AI Architect and Manager at SAP
  • Razi Bayati, Delivery Solution Architect
  • Rekha Priyadharshini Chandrasekaran, Data Science Manager & Royal Bank of Canada
  • Riccardo Di Sipio, Senior Machine Learning Developer, Dayforce HCM
  • Ritwick Dutta, Lead Machine Learning Engineer, Telus
  • Sandeep Singh, Expert Senior Director , Bain & Company
  • Sandra Lopez-Zamora, Data Strategy and Analytics Senior Manager, Global Contact Centres – GRM Rotation Program
  • Santosh Hariharan, Associate Director, Merck
  • Santoshi Tadanki, Leadership Associate, Senior Manager, RBC
  • Shariyar Murtaza, Senior Lead Data Scientist at Manulife
  • Sharon Shahrokhi Tehrani, Product Manager, CBC
  • Shubham Barhate, Machine Learning Engineer, Pinterest
  • Sohom Mandal, Four Seasons Hotels
  • Soroosh Shahtalebi, Senior MLE and Tech lead at Unity Technologies
  • Sri Chakra Kumar, Machine Vision Engineer, Wabtec Rail Inc. US
  • Sri Raghu Malireddi, Machine Learning Engineer, Grammarly
  • Suresh Bysani Venkata Naga, Director of Engineering AI and SAAS Infrastructure, Eightfold.ai
  • Susan Shu Chang, Principal Data Scientist at Elastic (Elasticsearch)
  • Taha Jaffer, CEO Oxoboxo Inc.
  • Tejas Chopra, Senior Engineer, Netflix
  • Thiagarajan Ramakrishnan, Senior Technical Staff, Machine Learning at AMD
  • Tom Wadden, Jamlabs Data Science Inc, CEO
  • Ved Upadhyay, Senior Data Scientist at Walmart
  • Vino Sangaralingam, Lead Data Scientist, Mastercard
  • Vyas Anirudh Akundy, Senior AI Engineer @ Chubb Insurance Company of Canada
  • Wei Sun, Founder of BuGu Solutions and Adjunct AI Professor at U of Waterloo
  • Zahra Shekarchi, Senior ML Research Engineer at Thomson Reuters Co.

TMLS Team

  • David Scharbach, Executive Director
  • Faraz Thambi, Head of Global Partnerships & Ecosystem
  • Tina Aprile, Head of Event Operations
  • Jenn Wright, Event Lead
  • Valeria SalazarMarketing & Operation Coordinator
  • Amy Mansell, Event Lead
  • Allaine Nicole Gamaro, Website Lead
  • Bita Houshmand, Data Scientist | Research Assistant, Ryerson University
  • Carrillo Juan, Researcher – PhD Student, University of Toronto
  • Farhad Sadeghlo, Data Analyst, Omdena
  • Farzaneh Ghods, Data Science and AI Technical Lead, IBM
  • Hariskrishna Venkatesan, Data Analyst, University of Toronto
  • Jiri Stodulka, Data Scientist, Stage Page
  • Karan Teckwani, Lead Data Scientist, EatSleepRIDE Motorcycle GPS
  • Mamta Gupta, Research Associate, Scotiabank Center for Customer Analytics at Queen’s University, Scotiabank
  • Maria D’Angelo, Data Science Lead, Shopify
  • Marnie Landon, CEO and Founder, C 2 Infinity Corporation
  • Motasem Salem, Data Scientist, Flipp
  • Nadia Rauch, Senior Machine Learning Engineer, R&D, Nylas
  • Peter Yu Ping Shih
  • Reena Shaw, Talent Acquisition Expert, Savanna HR
  • Stewart Hayes, Director, Business Development + Partnerships, Intersect
  • Tariq Habib, Senior Advisor I Global Investment and Innovation Incentives, Deloitte
  • Madhur Kanjolia, Consultant, Accenture

Past Extended Team / Volunteers

Join Our Community

TMLS is working with community members to re-imagine a collaborative “connected-community”. We’re working to empower our community members and propel successful AI applications, and the use of AI research on a local and global stage.

Our community members are developing AI/ML effectively and responsibly across all Industries.

Data practitioners and students are fast-tracking their learning process and developing rewarding careers in the field of ML and AI.

Expand your network with machine learning experts and further your own personal & professional development in this exciting and rewarding field.

Member Roles

Data Practitioners
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Business Leaders
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Researchers / Academics
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Join us today for free and receive invitations to networking events, seminars, conferences and workshops and past video content.

Become A Sponsor

Toronto Machine Learning Society has partnered with the following companies for our various events and initiatives.

If you’re interested, please reach out to faraz@torontomachinelearning.com.

We’re happy to establish new partnerships!

Sponsors

Community Partners

Who Attends

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2023 Event Demographics

Highly Qualified Practitioners
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Currently Working in Industry*
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Attendees Looking for Solutions
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Currently Hiring
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Attendees Actively Job-Searching
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2023 Technical Background

Expert/Researcher
18.5%
Advanced
44.66%
Intermediate
27.37%
Beginner
9.39%

2023 Attendees & Thought Leadership

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Business Leaders: C-Level Executives, Project Managers, and Product Owners will get to explore best practices, methodologies, principles, and practices for achieving ROI.

Engineers, Researchers, Data Practitioners: Will get a better understanding of the challenges, solutions, and ideas being offered via breakouts & workshops on Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML, and more.

Job Seekers: Will have the opportunity to network virtually and meet over 30+ Top Al Companies.

Ignite what is an Ignite Talk?

Ignite is an innovative and fast-paced style used to deliver a concise presentation.

During an Ignite Talk, presenters discuss their research using 20 image-centric slides which automatically advance every 15 seconds.

The result is a fun and engaging five-minute presentation.

You can see all our speakers and full agenda here

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For feature details, visit Whova