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.
About Me
I received my MS from UT Austin in May 2025, and BS from UIUC in 2022. My master's thesis research was on developing neural port-Hamiltonian differential algebraic equations, with applications to scalable data-driven modeling of electrical networks. Current an autonomous aircraft operations research intern @ NASA Ames.
Deep LearningGenerative AIPythonPyTorch
Featured Projects
Causal Diffusion Guidance
Working towards diffusion models capable of causal counterfactual reasoning.
Human Activity Recognition with Batteryless Sensors
Developed a low-energy and fast-inference human activity recognition algorithm for batteryless sensors.
Neural Port-Hamiltonian Differential Algebraic Equations
Developed compositional learning algorithms for coupled dynamical systems.