Teaching / Mentorship

Make the system
legible.

2024

Recognition

Outstanding Graduate Teaching Assistant

University of Arizona · Aerospace and Mechanical Engineering Department

Courses

University courses

Instruction across controls, orbital mechanics, instrumentation, numerical methods, CAD, astronomy, and hands-on spacecraft engineering.

ASTR 496/596

Small Satellite Systems

Co-instructor · Practical applications

Avionics, ADCS, and flight-software exercises connected directly to active Earth Cup mission deliverables.

AME 321

Aircraft Controls

Graduate Teaching Assistant

Office hours, exam preparation, and a six-part LaTeX practice and solution series adopted into the course bank.

AME 557

Orbital Mechanics

Graduate Teaching Assistant

Exam preparation and MATLAB simulation material for Lambert transfers and trajectory visualization.

AME 300

Instrumentation Laboratory

Graduate TA · Laboratory designer

Redesigned the first-order response laboratory around the TAVIS machine-vision Stokes-flow experiment.

AME 302

Numerical Methods

Graduate Teaching Assistant

Laboratory instruction, MATLAB tutorials, grading, and technical problem-solving support.

AME 211

Computer-Aided Engineering

Course grader

Grading and feedback for engineering CAD work using AutoCAD and SolidWorks.

ASTR 202

Life in the Universe

Graduate Teaching Assistant

Lab instruction and technical communication for students across STEM and non-STEM disciplines.

Courses

Original course material

Structured learning paths in flight-software development and spacecraft architecture, with lesson notes, technical resources, and video material organized in one place.

Explore courses

Laboratory redesign

TAVIS

The Tracking and Viscosity Inference System turns first-order response into an observable computer-vision experiment. A YOLO11m detector and Kalman filter estimate falling-sphere velocity, while Faxén corrections connect the tracked motion to fluid viscosity.

Dataset
1,100+ labeled frames
Detection
mAP@0.5 ≈ 0.99
Method
YOLO + Kalman filtering