EDUCATION · ENGINEERING · MENTORSHIP

Teaching ideas that move from theory to practice.

My teaching experience connects analytical foundations with computation, control, and mechanical design—helping students turn engineering principles into systems they can understand, test, and build.

TEACHING APPROACH

A connected engineering curriculum

I value clear physical intuition, reproducible computation, and purposeful experimentation. Across introductory and advanced courses, the goal is the same: make complex ideas approachable without losing their rigor.

01

Understand

Build strong foundations in mathematics, physics, measurement, and mechanics.

02

Compute

Translate models into algorithms through simulation, optimization, and computational intelligence.

03

Create

Apply analysis and control to the design of practical mechanical and automated systems.

COURSE RECORD

Teaching appointments

Course materials and appointment records are available through each entry below.

01

Teaching Assistant · Hong Kong

The Chinese University of Hong Kong

2022—2025
MAEG5735Spring 2025

Applied Computational Intelligence

MAEG4050Spring 2023

Modern Control Systems Analysis and Design

02

Teaching Assistant · Chengdu

Sichuan University–Pittsburgh Institute

2020—2022

RESEARCH-LED TEACHING

Bringing contemporary engineering into the classroom.

My research in intelligent manufacturing, architected materials, and computational design informs how I approach engineering education.