Teaching Experience

• Graduate Student Instructor for ``EECS 453: Principles of Machine Learning'', Prof. Qu, University of Michigan, Fall 2023.

• Graduate Student Instructor for “EECS 501: Probability and Random Processes”, Prof. Pradhan, University of Michigan, Winter 2020 and Fall 2022.

• Graduate Student Instructor for “EECS 444/544: Analysis of Societal Networks”, Prof. Subramanian, University of Michigan, Fall 2021.

• Graduate Student Instructor for “EECS 301: Probabilistic Methods in Engineering”, Prof. Stark, University of Michigan, Fall 2019 and Spring 2020.

• Graduate Student Instructor for “EECS 311: Analog Circuits”, Prof. Peterson, University of Michigan, Winter 2017 and Winter 2019.

• Graduate Student Instructor for “EECS 413: Monolithic Amplifier Circuits”, Prof. Afshari, University of Michigan, Fall 2016.