Nathan Tsao

Machine learning research engineer with two years of academic research (MS @ UT Austin) and internship experience (NASA). Seeking full-time machine learning engineer position.

Skills

Deep LearningGenerative AIPythonPyTorchLinuxDartJaxDockerStable-Baselines3Git

Relevant Coursework

Reinforcement LearningStatistical Machine LearningTheoretical StatisticsConvex Optimization

Education

Master of Science in Mechanical Engineering

August 2023 - May 2025

University of Texas at Austin

Austin, TX

GPA: 3.74.
Thesis: Neural Port-Hamiltonian Differential Algebraic Equations

Bachelor of Science in Mechanical Engineering

August 2019 - May 2022

University of Illinois Urbana-Champaign

Urbana, IL

GPA: 3.87

Work Experience

Autonomous Aircraft Operations Research Intern

June 2025 - August 2025

NASA Ames Research Center

Mountain View, CA

Researching how traffic following behavior in dense airspaces effect aircraft performance metrics.
Developing GPU-accelerated multi-modal traffic simulation of the Bay Area to guide infrastructure development of Unmanned Aerial Vehicles.

Hardware Engineering Intern

June 2022 - September 2022

Berkeley Lights

Berkeley, CA

Developed mechanical and electrical design of temperature calibration sensor for the OptoSelect chip.
Automated data acquisition and calibration pipeline using Python scripts.

Research Experience

Graduate Research Assistant

December 2023 - May 2025

University of Texas at Austin: Autonomous Systems Group

Austin, TX

Developed a scalable electrical circuit modeling framework using compositional machine learning models.
Created low-energy and fast-inference human activity recognition algorithm for batteryless sensors.

Publications:

  • Cyrus Neary*, Nathan Tsao*, and Ufuk Topcu. Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks. Under review at CDC 2025.
  • Geffen Cooper*, Nathan Tsao*, Filippos Fotiadis, Ufuk Topcu, Radu Marculescu. Learning from Sparse and Asynchronous Data Streams for Batteryless Sensors. Under review at NeurIPS 2025.

Visiting Research Assistant

May 2022 - January 2023

University of California, Berkeley: Hybrid Robotics Group

Berkeley, CA

Led team to design the hardware and RL controller design of an actuated tail for quadruped robots.
Created inexpensive 3D-printed quasi-direct-drive actuators with custom FOC motor controller.

Undergraduate Research Assistant

January 2022 - May 2022

University of Illinois Urbana-Champaign: RoboDesign Lab

Urbana, IL

Prototyped a low-cost force-sensing humanoid robot foot using elastomers and Hall sensors.

Honors and Awards

Dr. J. Parker Lamb Endowed Presidential Fellowship

2023

University of Texas at Austin

Nominated by the Walker Department of Mechanical Engineering.

Highest Honors

2022

University of Illinois Urbana-Champaign

Awarded to students with at least a 3.8 Illinois GPA and continual commitment to service and education.

Dean's List

2019-2022

University of Illinois Urbana-Champaign

Awarded to undergraduate students in the top 20 percent of their college class.

Teaching Experience

ASE 370C Feedback Control Systems

January 2025 - May 2025

University of Texas at Austin

Austin, TX

Graduate Teaching Assistant

ME 314D Dynamics

September 2023 - December 2023

University of Texas at Austin

Austin, TX

Graduate Teaching Assistant