We are leading technology commercialization experts

CO-FOUNDER & CEO

Daniel has founded several companies that apply cutting-edge technologies to create first-generation products, employing hundreds across North America and raising over $100M in revenue and funding. In 2020, he sold Chatham Labs to Facebook and became the founding director of Meta’s Reality Labs in Toronto. ​

Daniel’s technologies are found in more than a billion devices worldwide. He holds over 60 patents and has published more than 100 peer-reviewed papers with over 13,000 citations. Daniel is also a sought-after expert in intellectual property disputes.​

CO-FOUNDER & CHIEF SCIENTIST

Tovi is a Computer Science Professor at the University of Toronto. He is the world’s #1 published researcher in HCI, focusing on human-centric AI.

He has previously worked as a Distinguished Research Scientist at Autodesk Research, where he created Apple’s 2016 iPad App of the Year and made countless additional innovations to Autodesk’s products. ​He has authored over 160 peer-reviewed scientific articles, holds over 100 patents, has received 18 ‘Best Paper’ awards, and has over 13,000 citations.​ He also holds the prestigious Sloan Foundation and Steacie Fellowships.

CO-FOUNDER & SENIOR FELLOW

Ray is a leader in technology investing and a serial entrepreneur who has shepherded more than two dozen startup exits. He was previously the top-ranked technology analyst for five of eight eligible years. In 2001, he was Vice President, Mobile Internet Devices and Applications at Credit Suisse First Boston.​

Ray has served on the Ontario Judicial Council and the Board of Trustees with the Royal Ontario Museum. He currently serves on the Technical Advisory Committee of Duality Accelerator at the University of Chicago.​

CO-FOUNDER & CHIEF GROWTH OFFICER

David is a corporate technology executive, accredited board member, Venture Capital Managing Partner, M&A advisor, and CEO mentor. David was formerly the President of TELUS Enterprise & Partner Solutions with multi-billion-dollar P&L responsibilities. ​

David received global leadership recognition as TELUS’ Chief Procurement Officer & Global Head of Supply Chain. David was a founding board member of TELUS International, the largest Tech IPO in the history of the TSX.​ He advises multiple organizations and non-profits on technology and innovation.

CHIEF INFORMATION ADVISOR

Varun has a PhD in Computer Science Human-Computer Interaction from the University of Toronto. He is well-versed in the fields of ubiquitous computing, mixed reality, virtual reality, augmented reality, biosensing and digital fabrication. Varun is now the Director of Unmodal Research – bringing interdisciplinary expertise across hardware, software, design and materials grounded in strong human-computer interaction principles.

He has served as a Research and Development Hardware Engineer at Chatham Labs, but has also interned at Disney, Microsoft and MIT Media Lab.

CHIEF ANALYST

Aniket has experience as an early-stage investor at Extreme Venture Partners and blends his analytical expertise, operational skills, and strong network to support founders. He has spent years investing in companies at the application layer and working for them across operations, sales, marketing, finance and UI/UX design.

Aniket has founded multiple small startups and indie projects - working with clients like Ferrari and Hagerty. He also hosts networking events for the technology community in Toronto. He graduated from the University of Waterloo and interned at a $2B AUM venture fund in San Francisco.

LEAD AI ADVISOR

Kyryl is a machine learning engineer and educator with over a decade of experience translating ML research into scalable real-world systems. He previously led AI initiatives at Georgian and Borealis AI, where he drove deployments of NLP, computer vision, and RAG-based infrastructure across growth-stage and enterprise environments.

As founder of “Kyryl Opens ML”, he now develops open-source tools, delivers public courses, and shares insights through widely-read technical blogs. His work has been published at top conferences, with recent projects focusing on agent architectures, PDF parsing, and orchestration protocols.

LEAD FULL STACK ENGINEER

Victor is an AI engineer with deep experience leading applied LLM and infrastructure projects. At FinChat, he built AI-powered tools for equity research and fine-tuning pipelines that accelerated model iteration. At Deck, he led engineering for an LLM-based web data extraction system, supporting alternative data workflows and a successful Series A.

Previously at Next Pathway, Victor developed deterministic code translation systems and end-to-end AI pipelines to support enterprise cloud migrations. He was also Head of Engineering at Acutus Capital Partners. He brings a hands-on, systems-level approach to building robust AI products.

LEAD PROTOTYPER

Sasha is a computer science researcher exploring how generative technologies can support creative workflows. Sasha was previously an AR / VR Research Prototyper at Meta and an HCI Research Engineer at Singapore Management University. He has a Master’s degree in computer science from the University of Calgary.

In February 2025, Sasha launched Maple Scan – a mobile app that lets consumers scan any product and determine if it truly supports Canadian businesses. Maple Scan is currently in the Top Charts on the App Store has been featured on CityNews, CTV and CBC.

MScAC INTERN

Kerry is currently completing her MScAC at the University of Toronto. She has held engineering roles at Census, Extend, and Voiceflow, contributing to data infrastructure, credit tooling, and conversational AI platforms used by thousands of teams. Across these roles, she shipped production features end-to-end, from frontend components to backend pipelines and ML integrations.

She previously supported heads-up computing research at NUS-HCI Lab and has worked on applied ML projects ranging from NLP prototypes to internal tooling for data labeling, model serving, and evaluation.

MscAC INTERN

Shaohong is currently completing his MScAC at the University of Toronto. At Cognitive Systems Corp., he developed and optimized key components of Wi-Fi motion detection systems, including neural network prototypes and regression tools for ML performance verification. He also created test frameworks and KPIs for core algorithms across product lines.

He previously held a software development internship at a digital finance firm in Shanghai, where he upgraded backend infrastructure and search functionality for customer-facing platforms.

MScAC INTERN

Laurel is currently completing her MScAC at the University of Toronto. At National Bank of Canada, she spent three years on the Financial Markets AI and Risk Solutions teams, where she designed and deployed internal tools powered by machine learning to streamline decision-making and improve trading efficiency. Her work spanned algorithm development, full-stack application design, and stakeholder collaboration across business units.

She has also held engineering roles at Xero and Hubdoc, and contributed to student-led AI initiatives in both technical and leadership capacities.

SUMMER INTERN

Charles is currently a summer intern at AXL Labs and holds a BASc from the University of Toronto. At Uber, he worked on the Delivery Matching Optimization team, developing waypoint modeling systems to improve dispatch efficiency at scale. At Qualcomm, he contributed to the Embedded AI team, optimizing multimodal vision transformers for low-power, real-time inference on edge devices.

He also served as Vice President of Technical Writing for the University of Toronto Machine Intelligence Student Team (UTMIST), leading a team of writers and producing newsletters for a 1,700+ subscriber base.

SUMMER INTERN

Ben is an undergraduate student at Queen’s University pursuing a dual degree in Commerce and Computer Science. He previously worked as an Energy & Infrastructure Finance and Accounting Intern at Envari Energy Solutions, where he contributed to financial modeling and internal reporting for large-scale energy projects.

Ben is the founder of Stensyl, a social study-tracking app that blends productivity tools with social accountability. He has experience building UI, backend logic, and data flows for early-stage digital products.

SUMMER INTERN

Evan is an undergraduate student at the University of Guelph studying Software Engineering with a minor in Marketing. He got his start coding retro-style video games in Java and has since expanded his focus to backend systems, databases, and full-stack development.

He’s currently building a comprehensive sports database website from the ground up and has experience working on internal tooling and business operations. Outside of coding, Evan has taken on leadership roles across volunteer and extracurricular projects.

INNOVATOR-IN-RESIDENCE

Ben is a human-computer interaction researcher focused on interactive help systems, feature discoverability, and goal-driven user interfaces. He was most recently a Research Scientist at Meta’s Reality Labs, where he explored novel interaction techniques and prototyped AI-powered UX systems.

Previously, he co-founded Chatham Labs (acquired by Meta) and held research roles at Autodesk, where he led projects on intelligent UI and generative tools. Ben earned his PhD in Computer Science from the University of Waterloo, where he pioneered the concept of task-centric user interfaces.

INNOVATOR-IN-RESIDENCE

Dustin is a systems thinker and product strategist focused on business intelligence, data infrastructure, and technical operations. He is the Co-Founder of Bear Cloud Studios, where he leads full-stack data and web projects for enterprise clients, helping organizations unlock strategic value through thoughtful design and implementation.

Previously, he supported metaverse research at Meta via Tundra Technical, led BI initiatives at RXA, and drove internal reporting and tooling efforts at Maritime-Ontario. He holds a degree in Computer Science from Queen’s University.

FACULTY FELLOW

Alec is an Associate Professor and Canada Research Chair in the Departments of Computer Science and Mathematics at the University of Toronto. He is also a Senior Research Scientist at Adobe Research. His work spans all aspects of geometry processing, including machine learning for 2D/3D geometry, physics-based simulation, interactive design tools for 2D and 3D, and more. ​

Alec leads the development of the widely used geometry processing library, libigl, winner of the 2015 SGP software award. He has received the ACM SIGGRAPH Significant New Researcher Award, Sloan Research Fellowship, and more.

FACULTY FELLOW

Sven is a Professor and past Chair of the Department of Computer Science at the University of Toronto and was also until recently the Vice President and Head of the Samsung Toronto AI Research Center.

Sven’s research interests revolve around the problem of shape perception in computer vision and, more recently, human vision. He has received the National Science Foundation CAREER award, the Government of Ontario Premiere's Research Excellence Award, and the Lifetime Research Achievement Award from the Canadian Image Processing and Pattern Recognition Society. ​

FACULTY FELLOW

Michael is a leading expert in AI-driven computational medicine, merging machine learning and data science to transform healthcare. A Professor of Computer Science at the University of Toronto and Chief Data Scientist at UHN, he also serves as a Vector Institute faculty member and Scientific Director of HPC4Health.

Michael’s work focuses on developing AI systems to analyze medical and genomic data, streamline clinical workflows, and improve decision-making, delivering actionable insights for complex conditions like rare diseases and advancing patient care.

FACULTY FELLOW

Nandita is an expert in computer systems and architecture, specializing in AI, robotics, and large-scale machine learning. An Assistant Professor at the University of Toronto, she is affiliated with the Vector Institute and Robotics Institute, where she leads the embARC Research Group.

Nandita’s work bridges programming models, AI systems, and hardware design to address bottlenecks in machine learning and robotics, optimizing performance and efficiency. Previously at Intel Labs, she has collaborated with leading tech companies like AMD, Microsoft, and NVIDIA.

FACULTY FELLOW

Alan is a global leader in AI-driven scientific discovery, applying artificial intelligence, automation, and quantum computing to accelerate breakthroughs in materials, chemistry, and pharmaceuticals. A Professor of Chemistry and Computer Science at the University of Toronto, he is also a Vector Institute faculty member, former Harvard professor, and co-founder of Matter Lab.

Alan’s research focuses on revolutionizing molecular and materials design with AI and quantum computing, driving sustainable innovation. As a serial innovator, he co-founded multiple startups translating research into real-world impact.

FACULTY FELLOW

Alex is an Assistant Professor of Computer Science at the University of Toronto and an Affiliate Scientist at Techna. He leads the Computational Health and Interaction (CHAI) Lab, which uses emergent technologies, machine learning, and signal processing to improve health and well-being. These innovations are made possible by his rich experience in machine learning and signal processing on sensor data, along with his expertise in human-computer interaction and user-centred design.

His work has resulted in patent-pending technologies adopted by startups and companies like Google.

FACULTY FELLOW

Michael is a Professor and Canada Research Chair in Computer Vision at York University. He is also a Senior Research Director at the Samsung AI Center in Toronto - contributing to technology used in millions of Galaxy phones and tablets.

He has advised several startups on leveraging cameras to analyze and understand the physical environment. Before relocating to Canada in 2016, he spent 14 years in Asia at the Hong Kong University of Science and Technology and the National University of Singapore. Dr. Brown is a Fellow of the IEEE.

FACULTY FELLOW

David is an Assistant Professor in the Department of Computer Science at the University of Toronto, a co-founder of the Toronto Computational Imaging Group, and a Faculty Affiliate at the Vector Institute. He works at the intersection of computational imaging, computer vision, and machine learning to break the limits of current sensing systems and re-think how we reconstruct the world from captured visual information.

He is a recipient of the ACM SIGGRAPH Outstanding Dissertation Award Honourable Mention, a Google Research Scholar award, among other awards.