1. Fall 2023: Guest Lecturer for ESE6800-004: Deep Generative Models at University of Pennsylvania.
   • Invited by Prof. René Vidal.
   • Gave two lectures:
     • Topic 1: Basics of Graph Neural Networks and their application to indoor scene synthesis using Graph Variational Autoencoders.
     • Topic 2: Application of deep generative models to explainable-AI.

1. Fall 2022: Teaching Assistant for 601.475/675: Machine Learning at Johns Hopkins University.
   • Instructors: Prof. Mark Dredze & Prof. Anqi Liu
   • Responsibilities:
     • Conducted recitation sessions;
     • Designed homework assignments,exam papers, and grading rubrics;
     • Served as mentor for course projects and was responsible for their final evaluations;
     • Held weekly office hours.