Teaching

2022–23 academic year

  • Understanding, Designing, and Building Social Media (MI 587)

    This seminar-style course merges social science, information science and computer science approaches to explore the rich concepts that underlie the design and use of social media. Topics discussed include the definition and history of social media, identity and self-presentation, social networks, design principles for building successful online communities, digital harms, content moderation, role of automation and labor in sustaining online spaces, algorithmic anxiety and oppression, and fairness and transparency in design.

    • Fall 2022
    • Spring 2023

  • Fundamentals of Data Curation and Management (ITI 221)

    This course introduces students to the use of large data sets and prepares them for work in organizational and research settings. The students will learn the basics of acquiring and curating practical data, discovering patterns, and managing large datasets with databases. Students will work multiple modalities of data such as textual, networked, and numerical datasets.

    • Fall 2022
    • Spring 2023

Past courses

2021–22 academic year

  • Fundamentals of Data Curation and Management (ITI 221)

    This course introduces students to the use of large data sets and prepares them for work in organizational and research settings. The students will learn the basics of acquiring and curating practical data, discovering patterns, and managing large datasets with databases. Students will work multiple modalities of data such as textual, networked, and numerical datasets.

    • Fall 2021
    • Spring 2022

University of Washington (2020–21)

  • Designing a More Critical CS Education (CSE 492)

    Society and computational systems are deeply intertwined. In this course, students will explore how technologies can embody systemic social inequities by synthesizing selected texts into new educational materials that can be broadly valuable (e.g., other students can use these materials for self-study later, the material could be adopted by instructors nationally).

    • Winter 2021

Past courses TAed as a PhD student

  • Computers, Society, and Professionalism (Georgia Tech | Head TA | CS 4863)

    • Fall 2019

  • Intro. to Artificial Intelligence (Georgia Tech | Head TA | CS 3600)

    • Spring 2018

  • Computing & Society (Georgia Tech | TA | CS 4001)

    • Fall 2018
    • Fall 2017
    • Fall 2016

  • Intro. to Artificial Intelligence (Georgia Tech | TA | CS 3600)

    • Summer 2019
    • Spring 2017
    • Spring 2016