Teaching

I teach students to apply statistical and machine learning methods to real-world data, from NIH All of Us records to large language models.

Courses Taught

• DSCI-D 590 Biomedical Data Science in Practice, Indiana University (online, Summer 2025, Fall 2025, and Spring 2026)

  • A new course applying AI and biostatistical methods using NIH All of Us data. Co-designed and co-taught with Drs. Haixu Tang and Jing Su in the summer; co-taught with Dr. Jiangqiong Li in the fall and spring.

• ILS-Z 604 Music Data Mining, Indiana University (in person, Fall 2022)

  • Led lab sessions on machine and deep learning for audio and text analysis.

Workshops

• Practical Large Language Models: Foundations and Applications, Midwest Biopharmaceutical Statistics Workshop (May 27, 2026, Carmel, Indiana)
  • A half-day short course on large language models for biomedical data analysis; co-designed and co-taught with Drs. Jiang Bian, Xing He, and Yuhang Jiang.

Under Five Series

Free lectures and labs on computational methods, open to anyone. The name nods to von Neumann's quip, as Fermi told it to Freeman Dyson (Dyson, 2004): "With four parameters I can fit an elephant, and with five I can make him wiggle his trunk." Fitting is easy; understanding is the point. Watch the series on YouTube.

• Unit 1: Who Wrote This? Fingerprints and Disguises in the Age of LLMs (2026)  Video Lab Slides
  • How writing gives away its author, and how writers can stay anonymous, told through four real cases you can rerun in your browser. Narrated with a synthetic clone of my voice.