Basic Information

Basics

Name Yuan Meng
Position Postdoctoral Associate
Email yum4006@cornell.edu; mengyuan0912@gmail.com
Phone (914) 557-5209
Url https://yuanmeng0912.github.io/

Interests

Geospatial Data Science & GeoAI
Spatial Epidemiology
Bayesian Spatiotemporal Modeling
Machine Learning & Deep Learning for Exposure Assessment
Remote Sensing and Geospatial Big Data
Environmental & Social Exposures
Air Pollution
Built and Food Environments
Green Space and Urban Landscapes
Social Determinants of Health
Population Health
Mental Health and Suicide
Cognitive Health and Dementia
Mortality and Health Disparities
Healthy Aging

Projects

  • 2017 – 2020
    Sensing Place

    Conventional exposure data describe administrative units, not the environments people move through. This project develops AI and geospatial methods to measure urban form, land use, greenery, and human activity from remote sensing, street view and geo-tagged imagery, social media, and crowdsourced map data. The resulting exposure layers feed every other project on this site.

    • Land Cover and Land Use Mapping
    • Urban Function and Landscape Characterization
    • Human Activity and Perception Sensing
  • 2021 – 2024
    Place & COVID-19 Mortality

    Air pollution and urban morphology shape population mortality risk, but how much depends on how cities are built and used. This project links satellite-derived pollution, urban form, and human mobility to mortality across cities and countries, including during the COVID-19 pandemic. It formed the core of my doctoral research.

    • Air Pollution and Mortality
    • Urban Morphology and Air Quality
    • Built Environment and Urban Space Use
  • 2023 – Present
    Place & Mental Health

    Social and digital environments shape mental health alongside physical ones. Using national cohort and county-level data, this project applies machine learning and large language models to identify which social determinants and digital exposures predict suicide risk and mental health outcomes. Findings on adolescent screen use were published in JAMA and covered by The New York Times, CNN, and The Washington Post.

    • Social Determinants of Health and Suicide
    • Digital and Screen Environments
    • Large Language Models for Unstructured Health Data
  • 2026 – Present
    Place & Cognitive Health

    Environmental exposures accumulate over decades, making older adults a critical and understudied population. This project estimates long-term associations between air pollution, food environments, and dementia-related mortality using Bayesian spatiotemporal models where individual-level exposure data are unavailable. This is the line I am building toward an independent research program.

    • Long-Term Air Pollution and Dementia
    • Food Environments and Cognitive Health
    • Joint and Cumulative Exposures

Education

  • 2022.01 - 2022.06

    Edinburgh, U.K.

    Visiting Student
    School of GeoSciences, University of Edinburgh
    Geoinformatics
  • 2020.01 - 2023.05

    Hong Kong, China

    PhD
    Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University
    Geoinformatics and Public Health
  • 2017.09 - 2019.12

    China

    Master
    College of Geography and Environment, Shandong Normal University
    Geoinformatics
  • 2013.09 - 2017.06

    China

    Bachelor
    College of Geography and Environment, Shandong Normal University
    Geoinformatics

Work

  • 2023.08 - Present

    New York, NY, U.S.

    Postdoctoral Associate
    Department of Population Health Sciences, Weill Cornell Medicine

Languages

Chinese (Mandarin)
Native speaker
English
Fluent