For Prospective Students

Thank you for your interest in my research! I've put together some information to help you understand what I look for in students and collaborators. My goal is to create a research environment that supports learning, creativity, and well-being, so I hope this helps you decide if our interests and working styles align.


What I Look For in Students:

I welcome students from diverse backgrounds and experiences. You don't need to have everything figured out, just a genuine interest in growing and contributing. Some qualities I especially value include:

  1. Research Fit: My work focuses on human-AI collaboration, user experience and design, and accessibility/assistive technology. I encourage you to explore my recent publications and let me know what sparked your interest or what ideas you're excited to pursue.
  2. Curiosity: I look for students who are eager to learn and ask thoughtful questions. Curiosity drives exploration, helps uncover new insights, and leads to more meaningful research.
  3. Time Management Skills: I appreciate when students try to stay organized and proactive. Setting goals, managing time, and following through on tasks can make our collaboration more smooth and rewarding for both of us.
  4. Open Communication: I deeply value honesty and transparency. If you're facing challenges (academic, personal, or otherwise), I'd rather know so we can figure things out together. Clear and authentic communication builds trust and helps me support you better.

Programs I'm Affiliated With:

  1. Master's and PhD students: You can apply to work with me through one of the following graduate programs at York University: MSc in Computer Science or PhD in Electrical Engineering and Computer Science.
  2. Undergraduate students: If you're interested in research opportunities, I encourage you to check out the Undergraduate Research at Lassonde page.

Interested in Reaching Out?

If you'd like to contact me about research opportunities, please include the following in your email. This helps me get a clearer picture of your interests and background and saves us from too much back and forth. I read every email carefully, but I may not be able to respond to everyone. Even if you don't hear back, I truly appreciate your time and wish you all the best on your academic journey!

  1. Include "Prospective Student" in the subject line.
  2. Let me know the role you're interested in (e.g., Undergraduate RA, MSc, PhD) and anticipated start date (e.g., Fall/Winter 2026).
  3. Share your research interests and any proposals for future projects you'd like to explore. Feel free to include a reflection on one of my papers, such as what stood out to you, what could be improved, or how you might extend the work.
  4. Provide a short summary of your relevant skills and experiences (e.g., full-stack development, UX/UI design, research methods). Most of the projects I work on involve designing, building, and evaluating interactive systems. It's helpful (but not required) to have experience with web development, large language model (LLM) APIs, and running user studies.
  5. Tell me why you're interested in working with me and what kind of mentorship you're looking for (e.g., regular check-ins, collaborative feedback, independent exploration).
  6. If possible, please include your CV and unofficial transcripts as attachments.
  7. And of course, feel free to share anything else that you think is important!