educate

I have taught engineering, data science, machine learning, and electronics coursework at the undergraduate and graduate levels. Outside of the traditional college environment, I have substitute taught high school, tutored middle school and high school students, and developed and taught a course on biomedical engineering to senior citizens at the Osher Lifelong Learning Institute, which was featured in an article by Backyard Brains. I also host a blog with data science and machine learning tutorials and I am the co-founder of dbdpED, an educational platform for digital biomarker discovery using mobile health and wearables data.

Current Courses (Duke University)

- Emerging Trends in Explainable AI (XAI) (Fall 2024, Spring 2025)

- Data Sourcing for Analytics (Fall 2024)

- Deep Learning Applications (Spring 2024, Summer 2024, Spring 2025)

- AI Entrepreneurship (co-teach Spring 2025)

Distributed Courses

- Developing Explainable AI Systems, Coursera

- Interpretable Machine Learning, Coursera

- Explainable Machine Learning, Coursera

In addition to the courses above, I frequently give guest lectures on a range of topics, from AI to statistics to biomedical topics. If you are interested in having me guest lecture on Responsible AI in your classroom, please reach out!

For a complete list of teaching experience, see here.