Teaching

Instructor

Introduction to Machine Learning, Ashesi-ETH Joint Mechatronics Master's Program, Spring 2026
Projects in Machine Learning, ETH Zurich, Spring 2026

Probabilistic Artificial Intelligence, ETH Zurich, Fall 2025
Reinforcement Learning, University of Zurich, Fall 2025
Advanced Model Predictive Control, ETH Zurich, Fall 2025
Statistical Learning Theory for Control, University of Pennsylvania, Fall 2024
Linear Algebra with Applications to AI, University of Pennsylvania, Fall 2024

Reliable Machine Learning Summer School (co-organizer), Summer 2026
A Tutorial on the Non-Asymptotic Theory of System Identification (co-presenter), CDC, Fall 2023

Introduction to Machine Learning, ETH Zurich, Spring 2026
Learning for Dynamics and Control, University of Pennsylvania, Fall 2024
Linear Algebra with Applications to AI, University of Pennsylvania, Course development, Summer 2024
Model Predictive Control, University of Pennsylvania, Spring 2022
The Theory of Probability, University of Pennsylvania, Fall 2021
State Space Control Systems, University of Minnesota, Spring 2020
Classical Control Systems, University of Minnesota, Fall 2019
Analog Electronics, University of Minnesota, Summer 2019
Linear Systems and Circuits, University of Minnesota, Spring 2019
Signals and Systems, University of Minnesota, Fall 2018
Introductory Physics, University of Minnesota, Fall 2017

Project Mentor and Instructor, High School AI Coding Program, Inspirit AI, Summer 2023 - Spring 2024
HKN Tutor, Undergraduate Electrical Engineering courses, 2018 - 2020
Middle School STEM Summer Program Instructor, MNDrive Scholar, University of Minnesota, Summer 2019