team test

Grant McKenzie

Associate Professor

Grant McKenzie is an associate professor of spatial data science in the Department of Geography at McGill University. At McGill, Grant leads the Platial Analysis Lab, an interdisciplinary research group that works at the intersection of information science and behavioral geography. Much of Grant’s work examines how human activity patterns vary within and between local regions and global communities. This has driven his applied interests geoprivacy and new mobility services as well as the broader role that geographic information science plays at the intersection of information technologies and society. Outside of academia, Grant has worked as a data scientist and software developer for a range of NGOs and leading technology companies.

Priyanka Verma

Doctoral Candidate

Priyanka Verma is a PhD student in the Department of Geography at McGill University. Her research leverages GIS and machine learning techniques to study socioeconomic inequities in existing shared micro-mobility service networks. She received her M.Sc. in Geographical Information Science from Clark University where she developed automated workflows to expand access to map comparison metrics. Prior to this, she worked as a Data Analyst (GIS) at Foot Locker, Inc. supporting market planning, real estate, and supply chain efforts. She also holds a B.A. in Geography from City University of New York-Hunter College.

Dan Qiang

Doctoral Candidate

Dan Qiang is a PhD student in the Department of Geography at McGill University. She completed her master’s degree in architecture from the College of Architecture and Urban Planning, Tongji University in 2022 and her bachelor’s degree in architecture from Hunan University in 2019. Before joining the Platial Analysis Lab, Dan was a member of the Computational Urban Design Lab led by Dr Yu Ye. Given her interdisciplinary background, she is passionate about improving the built environment and generating urban vitality. Her research spans urban morphology, human mobility and GIScience. Her professional goal is to bridge the gap between Urban Planning and Spatial Data Science.

Daniel Romm

Doctoral Student

Daniel Romm is a Doctoral student in Geography at McGill University, where he is researching free-floating micromobility systems using quantitative methods. Daniel has previously studied these mobility systems using qualitative methods for several years at the University of Toronto, where he completed his Bachelor’s degree in Human Geography in 2020. Daniel also has an interest in theories of “place”, as well as geoprivacy.

Mackenzie Johnston

Master's Student

Mackenzie Johnston is a Master of Science student in Geography at McGill University. She completed her Bachelor of Science in Mathematics & Sustainability at Dalhousie University, where she gained an interest in data driven geography. Her research will focus on the link between urban mobility, climate change, and socio-economic equity through data science and geospatial analysis. Mackenzie is particularly interested in how new transportation technologies impact urban communities, with a focus on developing strategies for sustainable urban mobility.