The secret of life, though, is to fall seven times and to get up eight times. — Paulo Coelho
I am a FAST Fellow (Future Academic Scholars in Teaching) at Michigan State University, a competitive teaching-as-research professional development program for STEM Ph.D. students; I was selected as one of nine fellows university-wide. Through the fellowship, I planned and conducted a mentored classroom research project aimed at improving undergraduate teaching and learning, with structured peer mentoring and one-on-one feedback along the way.
My FAST project studies how students use AI tools when learning mathematics, and what patterns emerge in that use. I presented the results at the FAST Fellowship Symposium, Michigan State University, in April 2026.
Technology in mathematical learning. Technological tools are often underused in theoretical mathematics. I integrate tools such as LaTeX, Python, and Lean into my courses to strengthen mathematical writing and communication. For example, in my online Introduction to Proofs course, students used LaTeX throughout the semester, and their proof-writing growth was assessed through a cumulative final portfolio.
Reducing math anxiety. Many students fear giving incorrect answers, which keeps them from participating. I am interested in strategies that make failure feel safe, such as resubmission with reflection, deliberate public mistakes, and structured group work, and in measuring how these strategies affect participation and learning. See my Teaching Philosophy for how these ideas shape my classroom.