Graduate Coursework

• Deep Learning
• Nonconvex Optimization
• Information Theory
• Digital Signal Processing
• High Dimensional Probability
• Mathmatical Foundation of Machine Learning
• Statistical Machine Learning
• Natural Language Processing

Teaching Experience

• Graduate Teaching Assistant, ECE 6258 Digital Image Processing (GaTech, Fall 2023)
  
• Graduate Teaching Assistant, ECE 4252/8803 – Fundamentals of Machine Learning (GaTech, Spring 2024)
  
• Instructor, K12 Summer ML Teaching Program (NYU, Summer 2022)
  Developed and taught a summer course on machine learning for high school students, covering topics such as supervised learning, unsupervised learning, and neural networks.