Biography
Tory advises Fortune 500 companies and startups on AI strategy and implementation, helping them leverage cutting-edge AI technologies for business impact.
He specializes in delivering rapid AI prototypes to elite clients, transforming complex business challenges into working AI solutions within weeks, not months. His ability to architect and deploy production-scale AI systems at unprecedented speed has earned him the trust of industry leaders who need to move fast in competitive markets.
He has been researching AI as a computer scientist since 2012. His work encompasses the application of machine learning algorithms including Deep Learning, Reinforcement Learning, and Large Language Models across domains from medical diagnostics to quantitative trading systems and AI voice and video agents.
Tory founded Triage, a medical device company that developed breakthrough AI-powered dermatology diagnostics and received regulatory approval in 35 countries. His research was funded by NVIDIA and Google, enabling large-scale experimentation at the frontier of applied AI. His contributions have been presented at leading AI conferences NVIDIA GTC, NeurIPS and MICCAI, and he has collaborated with researchers from Stanford, UCLA, MD Anderson Cancer Center, Memorial Sloan Kettering Cancer Center, Vector Institute, and University of Toronto. Tory's peer-reviewed AI research publications include co-authored work with Dr. Ron Moy, MD, former president of the American Academy of Dermatology and Chief of Dermatologic Surgery at UCLA. Previously, Tory was Co-Founder and CTO of technology bootcamp Bitmaker, which was acquired by General Assembly. He graduated from Ivey Business School (HBA 2011) at Western University. Tory's mentors include technology leaders Daniel Kottke of Apple, whose insights have been invaluable to his development.
Building the Future
Inspired by JARVIS from Iron Man, today Tory is building AI agents that collaborate with humans as naturally as another person would. His recent work spans medical research assistants, autonomous workflow systems, voice interaction platforms, and computer-use agents that navigate complex digital environments.
AI is rapidly moving beyond static use cases, like chatbots or diagnostic tools, toward agents that can see, listen, create, and respond in real time. The next five years will be about building systems that feel less like software and more like collaborators — capable of helping us think, create, and make decisions in a way that feels human. Tory aims to make that future a reality, pushing the boundaries of what's possible in human-machine collaboration.
AI Voice & Video Agents
Tory's work in this area has been applied to medical research and education, where voice- and vision-enabled AI can serve as teaching assistants, patient-facing guides, and collaborators in research workflows. These systems also power outbound and inbound sales agents, demonstrating the versatility of embodied AI across different domains.
Key Technologies
- Computer Vision
- Speech Synthesis
- Natural Language Understanding
- Reinforcement Learning
Applications
- Medical Research & Education
- Patient-facing AI Guides
- Research Workflow Collaboration
- Teaching Assistants
- Outbound Sales Agents
- Inbound Customer Support Agents
Advanced Reasoning Systems
Building state-of-the-art AI agents from the ground up with chain of thought, tool use, and advanced reasoning capabilities. Tory's work spans from early foundation models to cutting-edge reasoning systems that can think, plan, and execute complex tasks autonomously, including experimentation with recursive self-improvement.
Key Technologies
- Chain of Thought Reasoning
- Tool Use & Function Calling
- Agent Architecture Design
- Research & Planning Systems
- Recursive Self-Improvement
Models & Projects
- GPT-2 to Latest Reasoning Models
- Autonomous Research Agents
- Multi-step Reasoning Systems
- Tool-Integrated AI Agents
- Self-Improving AI Systems
Generative Media
Exploring how LLMs can drive image and video creation, enabling new forms of expression, simulation, and interaction at the intersection of creativity and machine intelligence.
Key Technologies
- Image Generation
- Video Creation
- Creative AI
- Multimodal LLMs
Applications
- Creative Expression
- Simulation & Modeling
- Interactive Media
- Content Creation
Research & Workflow Agents
Creating sophisticated AI agents that can conduct research, analyze data, and execute complex workflows autonomously. These systems combine reasoning capabilities with practical tool use to solve real-world problems, from research automation to business process optimization.
Key Technologies
- Research Automation
- Intelligent Workflow Design
- Multi-agent Coordination
- Autonomous Decision Making
Applications
- Research & Data Analysis
- Business Process Automation
- Intelligent Workflow Management
- Autonomous Problem Solving
- Outbound and Inbound Customer Support and Sales Agents
Medical AI Research
Developing AI systems for medical diagnostics, patient care, and healthcare workflow optimization. Tory's work includes computer vision for medical imaging, natural language processing for understanding clinical records, and AI agents for medical research and education. This includes developing AI for diagnosing dermatological and ophthalmological conditions.
Key Technologies
- Medical Computer Vision
- Clinical NLP
- Medical Workflow Automation
- Patient Care AI
Applications
- Medical Imaging Analysis
- Clinical Documentation
- Medical Research Automation
- Healthcare Process Optimization
Financial AI Research
Advanced AI systems for financial markets, investment strategies, and quantitative analysis. This research area focuses on developing sophisticated algorithms for market prediction, risk assessment, and automated trading systems.
Key Technologies
- Quantitative Analysis
- Market Prediction Models
- Risk Assessment AI
- Automated Trading Systems
Applications
- Investment Strategy Optimization
- Market Analysis & Prediction
- Risk Management Systems
- Portfolio Management AI
Technical Skills
Programming Languages
AI & Machine Learning
MLOps & Infrastructure
Data Analysis (Healthcare & Finance)
Finance & Accounting
Cloud & Infrastructure
Vector Databases & RAG
Security & Compliance
APIs & Integration
Databases
Web Development
Mobile Development
Computer Vision
Virtual Reality / Augmented Reality Development
Development Tools
Productivity Tools
Testing & Quality
Hardware Platforms
Performance & Caching
Healthcare Standards
Operating Systems
Google Sponsorship
Tory's cutting-edge healthcare AI research has been backed by Google Cloud and Jeff Dean, Chief Scientist of Google DeepMind and creator of Gemini
NVIDIA Sponsorship
Received both compute and recognition at NVIDIA GTC for large-scale healthcare AI experimentation
National Research Council Canada Funding
Received research funding from the National Research Council Canada, supporting innovative AI research and development projects
Technology Leadership Mentorship
Received mentorship from technology leaders including Daniel Kottke of Apple, gaining insights into building transformative technology and scaling innovative products
Stanford Research Collaboration
Triage technology assessed by healthcare AI pioneers Dr. Justin Ko, MD and Dr. Roberto Novoa, MD
Memorial Sloan Kettering International Skin Imaging Collaboration
Working group member involved in advancing science of melanoma diagnoses with Dr. Allan C. Halpern, MD, Chief of Dermatology at Memorial Sloan Kettering Cancer Center