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About Me

I'm a Data Scientist with a rigourous background in software engineering.



As a Professor/Lecturer at Toronto Metropolitan University I teach e-commerce and business multimedia, incorporating the latest trends in AI and specialized knowledge of accessibility that large multinational companies lack, but nonetheless is required by WCAG guidelines.



My thesis produced novel contributions to the field of Human-AI. I conducted the first study of its kind in the world, and revolutionized how work is performed with AI. Prior to that, I published Machine Learning research to two international conferences.



Early Foundations in Computer Science

I began in computer science, drawn to systems thinking and technical problem-solving. But the most meaningful challenges I encountered weren’t just about code — they were about people.

Bridging Technology and People

This realization led me to pursue a MASc in Industrial Engineering, focusing on research that connects machine learning, UX, and inclusive design.

Speech Accessibility Research

My thesis centered on real-time speech accessibility for people with dysarthria. It contributed to what is now the largest known dataset of dysarthric speech.

Human-AI Interaction and Automation Trust

I led studies on cognitive workload, trust calibration, and live captioning systems — always centering real users and measurable outcomes.

Teaching and Advocacy

I’ve taught accessibility topics at Toronto Metropolitan University, and collaborated with the Inclusive Media and Design Centre to exceed WCAG standards and advance inclusive technologies.

Where I’m Headed

Today, I design and build systems that adapt to users — not the other way around. I’m focused on Human-AI interaction, inclusive design, and making accessibility foundational across products and teams.