I am a master’s student in Computer Science and Engineering at the University of Michigan, working with Dr. Xu Wang to study AI’s role in education. Before Michigan, I studied Electrical and Computer Engineering at Olin College and worked as a computer science teacher, gaining firsthand insight into the needs and realities of the classroom. My interdisciplinary background spans engineering, HCI, design, and education, and I am particularly interested in designing and building technologies that support engaging and accessible learning.

AP CSA Array Algorithm Visualizer

AP CSA Array Algorithm Visualizer

September 2025 - May 2026

While teaching AP CS A, I designed a website for my students to visualize and practice array-related algorithms. Students can step through the algorithms line by line to see how it manipulates the array. They can also practice writing these algorithms in a sandbox environment and get help from a built-in AI tutor.

Designing Progress Feedback for the Musical Cane Game

September 2024 - December 2024

I contributed to the Musical Cane Game, an iOS application that supports cane-training practice through music and play. I conducted interviews and co-design sessions with orientation and mobility instructors and prototyped features for communicating learners’ practice progress.

Accessible Hearing Screening: Physical Interface Prototyping

Janurary 2023 - Present

As part of an ongoing effort to develop an affordable hearing-screening device, I designed and evaluated physical interface concepts for communicating test progress. I developed an Arduino-based prototype and gathered feedback from audiologists, midwives, and other intended users to assess the clarity and usefulness of an LED progress display.

Four-Channel EMG Sensing Board

December 2022

My team designed, simulated, and assembled a four-channel PCB for sensing and processing surface electromyography signals using LTspice and KiCad.

Braille Translator: A Rapid Prototype

🏆 2022 MakeMIT Winner Project

February 2022

During a 24-hour hackathon, our team developed a low-cost Braille learning tool designed to support learners, educators, and families. The project received a 2022 MakeMIT award.