Taught
Courses taught
- Intro to Discrete Math for Computer Scientists, lead instructor, Fall 2026
- Discrete math, MathILy-Er , Summer 2026
Teaching
Courses built around rigor, accessibility, and student growth.
My teaching experience spans discrete mathematics, algorithms, graph theory, accessible instruction, and introductory computer science across lecture, office-hour, and inquiry-based settings.
Philosophy
Teaching statement snapshot
My teaching centers on making mathematically rigorous material approachable without reducing its depth. Across lectures, office hours, grading sessions, and inquiry-based classrooms, I aim to help students move between concrete examples, formal reasoning, and collaborative problem solving.
I am especially drawn to courses in discrete mathematics and theoretical computer science, where students benefit from clear exposition, repeated practice, and space to ask questions as they build confidence with proof, abstraction, and algorithmic thinking.
Pedagogical commitments
- Explain technical and visual material accessibly for different learners
- Use active problem solving and responsive office-hour support
- Pair rigor with clear structure, examples, and iterative feedback
Courses
Courses taught and prepared
Supported
Courses supported
- CS 3510: Design and Analysis of Algorithms, TA and Head TA
- CS 3511: Honors Design and Analysis of Algorithms, TA
- CS 103: Mathematical Foundations of Computing, visual descriptionist
Interests
Teaching areas
- Discrete mathematics for computer science
- Algorithms, graph theory, and mathematical foundations
- Introductory computer science in Java and Python
Materials
Sample documents and classroom practices
Teaching CV
My teaching CV details courses, instructional responsibilities, teaching development, and academic service.
Classroom practice
I design courses and support materials around clear goals, structured problem solving, and frequent opportunities for students to ask questions and revise their understanding.
Pedagogical strengths
My teaching experience reflects inclusive pedagogy, broad course preparation, thoughtful assignment design, and strong alignment between learning goals and classroom practice.
Mentoring
Advising, support, and student engagement
My teaching work has included holding office hours, writing homework and exam problems, debugging code with students in real time, and helping students navigate visually intensive technical material. I care about meeting students where they are while helping them build the habits of mind needed for success in mathematically demanding computer science courses.