I am an Assistant Professor in the Department of Electrical Engineering and Computer Science at York University. 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).
I apply my expertise in Human-Computer Interaction (HCI) and Artificial Intelligence (AI) to design innovative human-AI collaborative tools that improve usability analysis. 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), a Best Paper Honorable Mention (Top 5% at CHI 2024), and the AWARE-AI NSF Research Traineeship Seed Funding Award (only one in the 2022 cohort). During my PhD, I interned at Autodesk Research, Meta Reality Labs, and Uncharted Software.
[Openings]: I am looking for creative and motivated students to join my group! If you're interested, I recommend checking out my prospective student page before contacting me.
Recent News
- May 2025: I successfully defended my PhD dissertation at RIT! Huge thanks to my committee members and collaborators!
- Apr 2025: I attended CHI 2025 in Japan, and collaborated on a paper about LLM-powered multimodal instructions for massage.
- Feb 2025: A systematic literature review I coauthored on haptic assistive tools for blind and low-vision people was published at TACCESS.
