I have been advising PhD, MS, and undergraduate students. I have advised three PhD students and seven MS students in Geography or Environmental Resources & Policy programs as a committee chair or co-chair, and served as a committee member for over 20 other graduate students from a broad spectrum of majors, such as Civil and Environmental Engineering, Plant Biology, Public Health, Sociology, and Zoology.
I expect new students with good programming experience (e.g., Python and R) and advanced skills in machine learning (a.k.a. artificial intelligence), big data analytics (e.g., social media analytics, remote sensing, cloud computing, Google Earth Engine), system dynamic modeling, social network analysis, and agent-based modeling. Students are expected to employ interdisciplinary and data-intensive methods to solve challenging geographic, social and environmental problems.