Teaching

I teach at the intersections of geography, data science, urban planning, and economics. Since 2023, I have served as a Visiting Assistant Professor of Data Analytics and Environmental Studies at Bard College, where I teach courses in GIS, geography, data science, and environmental and urban studies. My courses emphasize active learning in data science and geography while engaging students in critical conversations about power and equity, ecological sustainability, and collaboration with local residents and community organizations. I work to create collaborative spaces where students connect quantitative and qualitative methods to real-world challenges and opportunities.

Courses

Bard College

  • ES 321 GIS for Environmental Justice

  • CMSC 121 Introduction to Data Analytics and R Programming

  • ES 210 Data Analytics for Mapping and Spatial Analysis

  • ES 113 Introduction to Geography and Geosciences

  • ECON 200 Right to Employment

  • CEP 508 Analysis Tools: Geographic Information Systems

  • Mapping Home: Critical Lenses on the Natural and Built Environment Bard Baccalaureate First Year Seminar

University of Maryland, College Park

  • URSP 688J Economics for a Just and Sustainable World (Master of Arts and Ph.D. students)

University of Missouri, Kansas City, Missouri

  • ECON 458/558 Urban Economics (undergraduates and Master of Arts students)

  • ECON 202 Principles of Microeconomics

  • Planning and Design Studio III - UPD 410

Workshops, Tutorials, Lectures

  • Machine Learning Tutorial | Bard College Computational Sciences

  • Applied Data Science and Statistical Learning Tutorial | Bard College Computational Sciences

  • Mapping Unemployment | Bard College Economics

  • Civic Action Research | Open Society University Network Center for Civic Engagement