My research in applied geometry and topology overlaps with my interest in data science, particularly in the areas of shape analysis and registration, time series analysis, and data fusion. I also have experience teaching machine learning and mentoring data science projects:
Capstone Project Manager for Duke Masters in Data Science (MIDS)
(Duke, Spring 2020).
Instructor for Math 466: Mathematics of Data Science
(Duke, Fall 2019, Spring 2021, and Spring 2022).
Instructor for Stats 302: Principles of Machine Learning
(Duke Kunshan University, Fall 2020 and Fall 2021)
Co-Instructor for Math 1620: Mathematical Statistics and Data Science
(Brown, Spring 2019).
Worked under Sam Watson in building course content for Brown’s Data Science Master’s program.
In 2017, I participated in the Brown Data Science Hackathon (Datathon). Together with my teammates, Jeroen Chua and Sunny Yang Xiao, we came in third place with a project on predicting smartphone users from accelerometer data across a variety of movements.