Graduate course, Duke University, Electrical and Computer Engineering (ECE), 2023
This is a graduate course introducing incoming ECE masters and PhD students to fundamental concepts in logic and set theory, metric spaces, topology, vector spaces, and convex optimization. For additional details see course website here. For my work as a TA for this course, I was selected to receive Duke ECE’s outstanding graduate student TA award on Spring 2024!
Graduate course, Duke University, Electrical and Computer Engineering (ECE), 2023
This is a graduate course on probabilistic machine learning methods cross-listed between ECE, Statistics, and Computer Science (CS). It covers key concepts in prediction and decision making typically encountered in machine learning and data science, under a more formal statistical viewpoint. For additional details, see course website here. For my work as a TA for this course, I was selected to receive Duke ECE’s outstanding graduate student TA award on Spring 2023!
Undergraduate course, Duke University, Physics, 2015
I was a teaching assistant for Physics 141L (Classical Mechanics) and 142L (E&M) for life science undergraduate students at Duke during the summer of 2015. These courses were taught during Summer Sessions I, II and were conducted at Duke’s marine laboratory campus in Beaufort, NC.
Graduate/Professional Course, University of Brasilia School of Medicine, Medical Physiology, 2011
I was a teaching assistant for the graduate cardiac physiology course at University of Brasilia’s School of Medicine (Brazil).