Tianjia Liu
Assistant Professor at The University of British Columbia
Vancouver, British Columbia, Canada
Summary
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Senior🎓
Top SchoolTianjia Liu is an Assistant Professor of Geography at the University of British Columbia and an interdisciplinary environmental scientist specializing in fires, air pollution, and planetary health using remote sensing, GIS, machine learning, and atmospheric modeling. With nine years of research experience spanning Harvard, UC Irvine, and fieldwork in India, Equatorial Asia, and North America, Tianjia bridges atmospheric science, geography, and public health to quantify human-fire interactions and extreme-event impacts. Their work combines rigorous modeling with large-scale satellite observations to inform regional air quality and climate impacts, and they maintain an active lab and public profile (embrslab.com, tianjialiu.com). Notably, their cross-continental focus and blend of statistical and atmospheric approaches enable actionable insights for both policy and vulnerable populations.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy, Atmospheric Chemistry, Doctor of Philosophy, Atmospheric Chemistry at Harvard UniversityBachelor of Arts (BA), Environmental Science, Bachelor of Arts (BA), Environmental Science at Columbia College, Columbia University
English, chinese (speaking), Russian, French
Github Skills (12)
mercury9
aws8
fortran8
google-earth-engine8
geos-chem8
classification7
cloud-computing7
scientific-computing7
atmospheric-modelling7
landsat6
algorithm5
aws-cloud1
Programming languages (2)
Github contributions (5)
tianjialiu/SMOKE-Policy-Tool
Aug 2018 - Jul 2021
SMOKE Policy Tool: Model and project the impact of Indonesian fires on public health in Equatorial Asia for 2005-2029 based on land cover/ land use (LULC) classification, GFEDv4s fire emissions, and meteorology in Google Earth Engine
Contributions:38 commits, 2 PRs, 54 pushes in 2 years 11 months
classificationgoogle-earth-engine
tianjialiu/ModL2T-Burned-Area
Dec 2018 - Feb 2020
ModL2T: hybrid MODIS and Landsat algorithm in Google Earth Engine for estimating post-monsoon burned area from agricultural fires in northwestern India
Contributions:3 commits, 2 PRs, 35 pushes in 1 year 2 months
google-earth-enginelandsat
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