Curriculum Vitae

Download Full CV (PDF)

Research Interests

I design and build wearable and hardware systems that restore and augment human movement, working across actuation and control, embedded sensing, and digital fabrication. I prototype real hardware and evaluate it with the people it is built for. I want to extend this toward assistive and rehabilitation robotics and exoskeletons, and toward closing the loop between neural intent and adaptive physical assistance.

Education

2025 – Present
Graduate Student, Computer Science
The University of Texas at Dallas, Richardson, TX, USA
M.S. in Computer Science (Interactive Computing) expected Spring 2027 · Advisor: Prof. Liang He, DE4M Lab
2021 – 2025
B.A. in Computation and Design, Duke Kunshan University
B.A. in Interdisciplinary Studies, Duke University (Dual Degree)
Dean's List (Fall 2022, Fall 2023, Spring 2024, Fall 2024)

Research Experience

2025 – Present
Research Assistant with Liang He
DE4M Lab, The University of Texas at Dallas
2023 – 2025
Research Assistant with Xin Tong
HKUST(GZ) & Duke Kunshan University
2023 – 2025
Research Assistant with Karen Cochrane
Embodied Computing Lab, University of Waterloo

Teaching & Outreach

Summer 2026
Instructor, TAST STEM Bridge & CS Outreach Summer Camps
Department of Computer Science, UTD
2025 – 2026
Teaching Assistant, Department of Computer Science, UTD
CS 4376 Object-Oriented Design (Spring 2026); CS 6326 Introduction to Human-Computer Interaction (Fall 2025)

Awards

2023
Center for the Study of Contemporary China (CSCC) Fellowship
2022 – 2024
Dean's List, Duke Kunshan University

Skills

Fabrication & Prototyping

Soft-robotics fabrication (silicone molding/casting), SLA (resin) & FDM 3D printing, OpenSCAD / CAD, Blender, Figma

Electronics & Embedded

ESP32 / Arduino, soft pneumatic and DC-motor actuation, wireless (ESP-NOW)

Programming, ML & Vision

Python, C/C++ (embedded), Swift/SwiftUI, JavaScript/p5.js, Java/Processing, R; custom object detection (YOLO / Ultralytics), on-device deployment (Core ML), OpenCV

Research Methods & Analysis

Human-subjects studies (interviews, surveys, in-field evaluation), mixed methods, sensor-data analysis, statistics in R