Over the past five years, I have taught and mentored in a variety of contexts, but my experience is a bit unconventional compared to most social scientists. During my time at Rutgers University, I was an Instructor for the Sociology of Medicine and Health Care for two semesters (Spring-Fall 2017) as well as a teaching assistant for Contemporary Sociological Theory (Spring 2016) and Introduction to Sociological Research Methods (Fall 2016). For my first four years at Rutgers (2012-2016), I also acted as Lab Manager in a research lab where I co-mentored more than 20 undergraduate students with more than half of those students moving on to postgraduate or medical school after working with our team. During this time, I trained students how to carry out behavioral experiments and clean cardiovascular data. Below is a training series detailing these procedures (see video series).
Mindware Cardiovascular Data Cleaning Tutorial
Over the past two years (July 2019-Present), I’ve been working as a Postdoctoral Research Associate at the University of Virginia. In my division, we do not have teaching responsibilities during the academic year, but we do host a summer program called Data Science for the Public Good (DSPG). During this time, our team has trained nearly 100 graduate and undergraduate students how to use data science to address a range of social and political issues. Students get the opportunity not only pick up a range of skills like geospatial mapping, web scraping, and machine learning, but also work closely with local and federal stakeholders who sponsor the projects. I have personally worked on 8 different teams over the past few years - leading one each in the past two summers. Below are some examples of the work my teams have produced.