🎓 For Prospective Students

Thank you for your interest in my research! I lead a lab focused on human-centered natural language processing (NLP), and I’m currently recruiting for positions starting in the next academic year. I hope the information below helps you determine if you would be a good fit.

💡 What I Look For in Students

• Research Fit: I am interested in human-centered NLP. This research area explores the impact of the quality, type and format of human feedback on the performance of NLP methodologies. It also investigates how NLP methodlogies can be designed in a particpatory approach, such as they respond to users' needs and requirements. I value research that designs explainable, fair, and impactful tools with users' needs in mind. I particularly welcome students with experience in NLP, human-AI collaboration, or machine learning, as these areas are central to my research.
• Momentum: Research can be challenging, with plenty of twists and turns along the way. I value students who can bounce back from setbacks, keep moving forward, and maintain momentum in the face of uncertainty. Being organized and proactive helps make our collaboration productive and enjoyable.
• Curiosity: I appreciate students who ask thoughtful questions and are motivated to explore new ideas.
• Open Communication: I value honesty and clarity — these build a strong foundation for any working relationship.

🌍 Programs and Opportunities

• You can apply through York University’s MSc in Computer Science or PhD in Electrical Engineering and Computer Science.
• International students may consider the International Visiting Research Trainee (IVRT) program.

• RAY Program (Research at York)
• Lassonde Undergraduate Research Award (LURA)
• Undergraduate Student Research Award (USRA)

• Consider the MITACS Globalink Research Award.

Feel free to reach out by email if our interests align!

✉️ How to Reach Out

If you're interested in joining the group, please email me with the subject line "Prospective Student" and include:

• The role you're applying for (e.g., Undergraduate RA, MSc, PhD) and your anticipated start date.
• Your research interests and ideas — feel free to reflect on one of my recent papers.
• A brief summary of your relevant skills (e.g., LLMs, Bayesian Inference, Responsible AI).
• Your CV and unofficial transcript (if available).
• Anything else you would like to share!

I read every message carefully. Even if I can’t respond to everyone, I appreciate your interest and wish you the best in your academic journey!