Teaching Experience

• Northwestern University, Evanston, IL (2023 – 2026)
  Instructor
  • Course: Wireless and Mobile Health (mHealth)
  • Designed and delivered lectures on mobile sensing systems, time-series modeling, and real-world health data analytics.
  • Covered end-to-end pipelines including data collection, feature engineering, model training, and evaluation for wearable sensing applications.

  Teaching Assistant

  • Courses: Machine Learning and Sensing, Human-Computer Interaction, Machine Learning, Deep Learning
  • Led discussion sections and hands-on sessions covering supervised learning, deep neural networks, and multimodal data processing.
  • Guided students in implementing ML pipelines using Python (PyTorch, scikit-learn), including model training, evaluation, and debugging.
  • Mentored student projects on real-world sensing and ML applications, including activity recognition and behavioral modeling.
• Georgetown University, Washington, DC (2018 – 2019)
  Teaching Assistant
  • Courses: Introduction to Data Science, Advanced Python Programming, Data Visualization
  • Supported instruction on data preprocessing, exploratory data analysis, and statistical modeling using Python (Pandas, NumPy).
  • Assisted students with building data analysis pipelines and visualization dashboards (Matplotlib, Tableau).
  • Provided guidance on SQL-based data querying and integration for analytics workflows.