Experience

Teaching & Mentoring

I connect practical AI development with a firm understanding of fundamentals. My graduate NLP lesson projects included student-answer classification and language modeling. I emphasize worked examples, experimentation, and explaining why a method works. In future courses using generative AI, I would ask students to verify its suggestions and explain their own reasoning.

Teaching experience

Research mentoring

I have mentored five doctoral students and three master’s students; four of these students have published conference papers. I meet with students weekly to discuss research questions, progress, and next steps, and work closely with them on research arguments, methods, results, and paper revisions.

Through AI4ExceptionalEd and CELaRAI, I have coordinated research discussions with principal investigators and students and helped translate educational goals into computational tasks. I encourage students to take ownership of their questions, justify methodological choices, and communicate findings across computing and education.

Teaching interests

I am prepared to teach Artificial Intelligence and Natural Language Processing and to contribute to courses in machine learning, educational data mining, and learning analytics.

Proposed course: AI for Education. An advanced undergraduate or graduate course bringing computing and education students together to study assessment and feedback, generative instructional materials, multimodal learning systems, and responsible evaluation. Teams would begin with an educator-defined goal, build or evaluate an AI approach, and revise their work after educator feedback.