I’m interested in research and teaching at the intersection of data science, people, and Christian faith. My main projects are around AI for Everyday Creativity, including:
- Applying today’s large AI language models to help writers express their ideas in their own words
- AI for instructors to see what students are learning
- Helping everyone understand what AI can do, and accurately calibrating both our excitement and our concerns.
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Updates
- 2023-10-27: Poster from summer research work presented at WMRUGS and Calvin
- 2023-07-27: Presented at ASA 2023 in Toronto (with 3 summer students)
- 2023-07-01: Awarded NSF CRII grant for writing research
- 2023-06-01: 7-student summer research team begins work
- 2023-03-06: University Panel on ChatGPT
- 2023-02-14: Calvin Philosophy Club roundtable on AI
- 2023-01-26: Talk at Big Data Ignite: “ChatGPT is Not Magic”
Teaching
I teach computer science, data science, and machine learning. Recent classes:
- DATA 202 Data Science 2, a data wrangling, predictive modeling, and visualization course in Python (pandas, plotly, sklearn, etc.), with a project emphasis. (In prior years I taught this using R tidyverse.)
- CS 344 Artificial Intelligence, a hands-on (but also concept-heavy) machine learning course based on the fast.ai course and Hugging Face Transformers
- CS 108 Introduction to Computing and CS 106, Calvin’s first-year Computer Science courses, in Python.
- INFO 602 Predictive Analytics (for Calvin’s MBA program)
See CV for others.
Doing research with me
I welcome students who are interested in human-computer interaction, machine learning, data science, interactive visualization, and Christian perspectives on data and computation. I have a range of ideas and ongoing projects, but bring your own interests too! Please contact me via email (Calvin: ka37) or Teams.
Education
- PhD in Computer Science, Harvard, 2020
- MS in Media Arts and Sciences, MIT, 2010
- BS in Electrical and Computer Engineering, Cornell, 2007
