Guest Lecturer, Information Systems and Infrastructure (Graduate Level)

I have guest lectured for a graduate-level Information Systems and Infrastructure course (IS270) on using Python to explore and critically evaluate large cultural datasets. The lecture combined a hands-on Python tutorial using real-world library data with a walkthrough of my own digital humanities research, giving students a practical introduction to working with messy datasets and thinking critically about what data can and cannot tell us.

Guest Lecturer, Digital Humanities (Graduate Level)

I have guest lectured for graduate-level Digital Humanities courses (IS201) on the use and limits of machine learning in cultural heritage contexts. These lectures examined image classification and clustering methods, including ResNet-50, and addressed what such models can and cannot reveal when applied to museum collections. I emphasized critical evaluation of training data, interpretability, bias, and the risks of over-claiming computational insight in curatorial and archival settings.

Teaching Assistant & Guest Lecturer, Digital Humanities (Undergraduate Level)

As a Teaching Assistant for an undergraduate Digital Humanities course (DH120) on social media data analytics, I taught Python-based data analysis methods, including data collection, cleaning, and exploratory analysis of platform data. I also guest lectured on proprietary social media algorithms, focusing on how visibility, ranking, and engagement are engineered by platform systems, and how these dynamics shape culture, labor, and access to information.