currently: interning @ Celestica · building a low-field MRI

Andrew Wong

I build instruments that sense, move, and measure.

Electrical & Computer Engineering at UT Austin, minoring in Quantum Information Sciences. I work where mathematics meets physical hardware — MRI scanners, optimal control systems, and RF sensors for medical devices.

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4.0 GPA 2nd/25 MLDS Datathon 100× cost reduction @ HackTX 4 concurrent engineering roles

01 / about

Engineering from first principles

I'm a junior studying Electrical & Computer Engineering at the University of Texas at Austin, with a minor in Quantum Information Sciences and a 4.0 GPA. The through-line in everything I do is measurement: I like problems where you have to understand the physics deeply enough to trust your own instruments.

Right now that means building a low-field MRI scanner from scratch in the Computational Sensing & Imaging Lab, designing PID and iLQR controllers for a thrust-vector-controlled dart with Texas Aerial Robotics, and developing RF sensor systems for medical diagnostics at Longhorn Life Sciences — while spending my summer at Celestica optimizing manufacturing test processes for hyperscale data center hardware.

The common thread is mathematics made physical. Control theory, electromagnetics, and signal processing are elegant on paper; the engineering I love is making them survive contact with noise, tolerances, and real hardware.

Austin, TX · US Citizen

02 / projects

Selected work

Research, robotics, and things built under time pressure. Each card links to a deeper writeup.

Low-Field MRI Scanner

Computational Sensing & Imaging Lab, UT Austin · Feb 2026 — Present

Building a working MRI scanner from scratch — magnets, shimming, and all.

Building a functional low-field MRI from the ground up, extending the open-source MRI4ALL hackathon design
Converted a 3D printer into an automated 3-axis magnetic field mapper to characterize B₀ homogeneity

RF Electromagnetics Instrumentation Python

Thrust-Vector-Controlled Dart

Texas Aerial Robotics, UT Austin · Feb 2026 — Present

PID + iLQR control stack that steers a powered dart to a precise landing point.

Built a 3-part PID and iLQR control system that maneuvers a thrust-vector-controlled dart to a desired landing location
Designing an orbital test rig to measure controller consistency and collect flight-representative data safely

Control Theory iLQR Embedded Hardware

Wireless RF Sensors for Medical Diagnostics

Longhorn Life Sciences · May 2026 — Present

RF sensing and telemetry for real-time medical diagnostics.

Developing wireless RF sensor systems for medical diagnostics, owning VNA calibration and data acquisition
Collaborating on RF telemetry systems for real-time data transmission in medical device environments

RF VNA Telemetry Medical Devices

Song-Skip Prediction — MLDS Datathon

2nd Place · 25 teams · 2026

Stacked ensemble hitting 79.6% accuracy on real-world streaming data.

Placed 2nd of 25 teams predicting song skips from real-world streaming behavior data
Built a stacked ensemble — LightGBM, XGBoost, CatBoost, Ridge — with a meta-learner weighting model outputs

Machine Learning Python Ensembles Data Science

CV Smart Whiteboard — HackTX

HackTX Hackathon · 2025

A $50 computer-vision alternative to a $5,000 smart whiteboard.

Built a computer-vision-based smart whiteboard that replaces ~$5,000 commercial hardware with ~$50 of parts
A 100× cost reduction: a camera and CV pipeline digitize an ordinary whiteboard in real time

Computer Vision Python OpenCV Rapid Prototyping

03 / experience

Where I've worked

Engineering Intern
Celestica

Jun 2026 — Present · Richardson, TX
- Analyzing cycle times across Design Verification Test (DVT) and Pre-Production Verification Test (PPVT) phases to identify manufacturing efficiency improvements
- Logged 40+ hours of cleanroom operations on fiber-optic cabling for hyperscale data center infrastructure, maintaining precision and contamination control
Electrical Engineering Intern
Longhorn Life Sciences

May 2026 — Present · Austin, TX
- Developing wireless RF sensor systems for medical diagnostics, including VNA calibration and data acquisition
- Collaborating on RF telemetry systems for real-time data transmission in medical device environments
Research Assistant
Computational Sensing & Imaging Lab, UT Austin

Feb 2026 — Present · Austin, TX
- Building a low-field MRI scanner from scratch following the MRI4ALL process, optimizing field strength beyond the baseline design
- Repurposed a 3D printer into an automated magnetic field probe to determine optimal passive and active shimming adjustments
Hardware Engineer
Texas Aerial Robotics

Feb 2026 — Present · Austin, TX
- Built a 3-part PID + iLQR control system to maneuver a thrust-vector-controlled dart to a desired landing location
- Constructing an orbital test rig to measure control system consistency and collect flight data
Product Development Intern
Ambience Healthcare

Oct 2024 — Dec 2024 · San Francisco, CA
- Structured automatic E-Order entry for Electronic Health Record (EHR) systems in the emergency room setting
- Presented findings from clinical shadowing to the product team — recommendations shipped in the following month
- Designed bedding-order automation for the ER to increase operational efficiency

04 / toolbox

Skills & tools

Hardware & Lab

Soldering KiCad VNA calibration Cleanroom operations 3D printing Oscilloscopes & lab instrumentation

Software

Python C++ Assembly LaTeX Git

Domains

Control theory (PID, iLQR) RF & electromagnetics Signal processing Machine learning Quantum information

Languages

English (fluent) Mandarin Chinese (intermediate)