I am deeply committed to my students, and value the incredible opportunity I get to be a trusted mentor. Through classroom discussions, field courses, thesis advising, and informal conversations, I enjoy being a resource of encouragement and support to help my students discover and investigate interesting ideas, harness research methods, and navigate career life.

As a first generation college student, I have a strong personal commitment to fostering diversity within education, especially inclusion of young people from underprivileged socio-economic backgrounds who face incredible barriers to access to higher education in the 21st century. This personal commitment is due in no small part to my own experience growing up in a family where college was a foreign concept, and the perceived value of higher education was simply not a priority. Because of these personal commitments, I strive to purposively foster diversity in all of its forms.

Graduate Courses

Data Science for Social Research: An Introduction
Yale 611a: This seminar provides an introduction to a rapidly growing and promising area of social scientific research that has accompanied the explosion of data in our digital age, as nearly every aspect of life is now connected (e.g., mobile phones, smart devices, social media) and digitized (book archives, government records, websites, communication). Students are introduced to various techniques and software for collecting, cleaning, and analyzing data at large scales, especially text data (e.g., machine learning, topic modeling, location extraction, semantic networks). Strong emphasis is placed on integrating these methods into actual research, in hopes of moving new or ongoing student papers toward publication. The course is in a seminar format, with a focus on reading and discussing cutting-edge research, as well as interacting with invited guests from industry (e.g. Google) and academia. An overarching goal of the course is to incubate and launch new interdisciplinary collaborative projects at Yale that integrate data science techniques to solve important problems.

Field Course in Culture, Environmental Politics, and Social Change
Yale 783: This course provides students with the opportunity to engage environmental politics and social change through experiential field-based learning and immersive research. Using a case-study approach, the course emphasizes active learning and independent research about broad theoretical issues pertaining to culture, politics, values, social movements, and institutional structures. The central component of the course is a major field trip to Western Wyoming, which is an especially salient context for examining these theoretical issues through the lens of water scarcity, population growth, income inequality, energy development, local knowledge, and indigenous perspectives. The course meets throughout the term for instruction and discussion in preparation for the spring break trip, and it concludes with sessions where students present their research. Due to high demand, the course requires a short application.

Environment, Culture, Morality, and Politics
Yale 764a: This course equips students to think critically and imaginatively about the social aspects of natural landscapes and the communities who inhabit them. It draws on empirical cases from the United States to examine interrelated issues pertaining to culture, morality, religion, politics, power, elites, corporations, and social movements. Because of the deep complexity of these issues, and the fact that this is a reading and writing-intensive course, it requires a significant time commitment from each student. Upon taking this course, students will become fluent with cutting-edge empirical research on these issues, will better recognize the social, moral, and political roots of all things, and finally, will be able to apply philosophical theory to concrete environmental problems.

Mixed-Methods for Social Research: Qualitative, Network Science, and Digital Text
Yale 551: This course provides an introduction to social scientific research. It is open to doctoral and MESc students (others may petition). It will equip researchers with the logical foundations and tangible tools with which to successfully design and carry out a fundable research project. In addition to qualitative approaches, this course includes an introduction to social network analysis, and more recent data and methods accompanying the rise of the Internet. [taught 2014-2016]