ASSISTANT PROFESSOR · HCI RESEARCHER
I am an Assistant Professor in the Department of Electrical Engineering and Computer Science at York University. I lead the COCOA (CO-Designing COllaborations with AI) Lab, where we explore how to design human-AI collaborative tools to enhance productivity, creativity, and accessibility.
I address real-world problems by integrating human-centered methodologies, such as interviews, surveys, and large-scale data analysis, with the design, development, and evaluation of novel tools. My research establishes a human-AI collaborative approach that combines AI's computational efficiency with the nuanced interpretation of human expertise. I also lead and collaborate on accessibility projects that promote inclusive computing education and develop assistive technologies for diverse users.
My research has been recognized by the Google PhD Fellowship in HCI (one of eight awarded globally in 2023), the inaugural RIT Outstanding Graduate Student Award (one of two PhD students schoolwide in 2024), and a Best Paper Honorable Mention (Top 5% at CHI 2024). I completed my PhD in Computing and Information Sciences at Rochester Institute of Technology, where I was also a member of the Center for Accessibility and Inclusion Research (CAIR). During my PhD, I interned at Autodesk Research, Meta Reality Labs, and Uncharted Software.
Exploring how AI can augment the design process by supporting creativity, ideation, and decision-making while fostering effective collaboration between humans and intelligent systems.
Example papers →Designing and evaluating AI-powered tools that empower people with disabilities, with a particular focus on supporting older adults and people who are blind or have low vision.
Example papers →Investigating how AI can personalize learning experiences, provide intelligent feedback, and improve educational outcomes across a variety of learning contexts.
Example papers →I teach courses in Human-Computer Interaction, multimedia systems, and generative AI, emphasizing hands-on design, user-centered evaluation, and emerging interactive technologies.
An introduction to user interface design, prototyping, and evaluation. Students work in teams to design, build, and assess interactive systems.
Explores the design and application of multimedia computing systems, with special topics in human-AI interaction examined through current research literature.
A graduate course designed by myself that examines prompting, evaluation, and human-centered interaction with generative AI systems from an HCI perspective.
I actively contribute to the Human-Computer Interaction community through conference organization, program committee service, and peer review for leading conferences and journals.
Program: Computing and Information Sciences
Advisors: Dr. Kristen Shinohara and Dr. Mingming Fan
Program: Biomedical Engineering
Graduated with Distinction - Dean's Honour List
- Worked on the HCI & Visualization Research Group
- Led a mixed-methods research project on integrating generative AI into 3D computer-aided design
- Worked on the Hardware UXR Team
- Designed and conducted user studies on Ray-Ban | Meta smartglasses and Meta Quest 2