Teaching is central to my work as a sociologist and has shaped my identity as an interdisciplinary scholar. I currently teach courses on the social and ethical aspects of data science as an adjunct faculty member in the NYU Steinhardt School's Department of Applied Statistics, Social Science, and Humanities. Previously, I taught in the Human Biology and Society program at the UCLA Institute for Society and Genetics. In my courses, I hope that students learn not just how to think critically but also what interests them and why. My experience teaching primarily in unique, interdisciplinary departments has both made me skeptical of the notion that STEM students are uninterested in what the humanities and social sciences have to offer, while also convincing me that for a host of important topics (climate change, the emergence of AI, the explosion of genomic technologies), the integration of ideas from across the liberal arts is a necessary component of higher education in the 21st century for students in every field.Â
For more information about my teaching philosophy, course evaluations, and sample syllabi, please contact me.