I am the Co-Lead for Environmental Data Science and AI at Manchester Environmental Research Institute (MERI, The University of Manchester), an Editor for Atmospheric Chemistry and Physics (ACP, a leading journal in atmospheric sciences), and Vice Chair of the American Meteorological Society (AMS) Artificial Intelligence (AI) Committee.

I am passionate about learning and solving practical problems using Data Science (DS), Artificial Intelligence (AI), Cloud Computing, and High-Performance Computing (HPC). My work focuses on computational modeling, model–data fusion, and spatiotemporal analysis of (1) urban weather and climate, (2) air quality and atmospheric aerosols, and (3) complex agriculture-environment nexus systems.

Experience

  • 2025–present
    Assistant Professor (permanent position) in Data Science and Environmental Analytics, The University of Manchester
  • 2025–present
    Co-Lead for Environmental Data Science and AI, Manchester Environmental Research Institute (MERI), The University of Manchester
  • 2022–2025
    Assistant Professor (probationary appointment) in Data Science and Environmental Analytics, The University of Manchester
  • 2022–2022
    Advanced Study Program (ASP) Postdoctoral Fellow, U.S. National Center for Atmospheric Research
  • 2021–2021
    Postdoctoral Research Scientist, Columbia University (U.S.)

Education

  •  
    University of Illinois Urbana-Champaign (U.S.), Master of Computer Science
  • 2020 
    University of Illinois Urbana-Champaign (U.S.), PhD in Environmental Engineering in Civil Engineering

Contact Zhonghua for

  • General
  • Media request
  • Speaking request
  • Consulting / Advising
  • Research collaboration
  • Research supervision