I enjoy using data science, environmental engineering and GIS to analyze big, messy data and complex systems.
I have a background in environmental science and engineering, with a specific focus on geochemical techniques applied to water. My previous work includes developing sediment contaminant chronologies for the Hudson River at Rensselaer Polytechnic Institute (Troy, NY), and work in developing low-cost filters with arsenic adsorbents at Clarkson University (Potsdam, NY). I came to Tufts in 2014 joining the Water Diplomacy IGERT program. My most recent graduate work at Tufts used agent-based models to investigate the role of social and behavioral factors on the feasibility of point of use water technologies.
Kyle has aimed to share these experiences in water and sustainable development by co-teaching various courses at Harvard Extension since 2014. In 2016, he worked as a GIS Analyst and later a Statistics Specialist for Tufts, providing individualized GIS and statistical services to students and faculty.
I am currently the Senior Data Science Specialist at Tufts University, providing statistical consulting, data visualization and high-performance computing (HPC) support.