Teaching

Teaching ePortfolio

During my participation in Northwestern University’s Reflective and Effective Teaching Program, I designed a course, “Methods for reproducibility in biomedical informatics research”, to serve as an introduction to the importance of scientific reproducibility and best coding practices.

The below links comprise my ePortfolio of teaching materials developed for my envisioned course.

• Course Motivation

• Course Description & Objectives

• Course Schedule & Assessment Plan

• Lesson Plan - Introduction to Github

  • Lesson Worksheet
  • Lesson Assessment

Teaching Experience

• DATA-118: Introduction to Data Science (Fall 2025)
  Data Science Major, University of Chicago

• CIS-175: Introduction to Data Science (Fall 2025)
  Highschool students at Lycée Français de Chicago - through Harry S. Truman College

• DATA-261: Statistical Pitfalls and Data Misinformation, Instructor of Record (Spring 2025)
  Data Science Major, University of Chicago

• BUS-261: Data Visualization for Business, Instructor of Record (Spring 2025)
  Harry S. Truman College

• BIOSTAT 302: Intro to Biostatistics, Teaching Assistant (Summer 2022, 2023)
  MS Biostatistics Program, Northwestern University

• BIOSTAT 306: R Programming, Teaching Assistant (Summer 2023)
  MS Biostatistics Program, Northwestern University

• HBMI 442: Methods in Health and Biomedical Informatics, Teaching Assistant (Winter 2022) MS/PhD in Health and Biomedical Informatics Program, Northwestern University

Lectures

• HBMI 442: Methods in Health & Biomedical Informatics, Guest Lecture on using the MIMIC Database and Performing Machine Learning with scikit-learn (Winter 2024, Winter 2025)
  MS/PhD in Health and Biomedical Informatics Program, Northwestern University (Lecture Notebook)

• HBMI 442: Methods in Health & Biomedical Informatics, Guest Lecture on Federated Learning (Winter 2023)
  MS/PhD in Health and Biomedical Informatics Program, Northwestern University (Lecture slides)