Fei Jiang<br>(江飞)

Fei Jiang
(江飞)

I am a PhD student at The University of Manchester. My research interests include particle-resolved dynamic modelling, cloud parcel modelling and atmospheric nanoplastics

I am currently undertaking a PhD student at 🌍the Department of Earth and Environmental Sciences, The University of Manchester, UK, supervised by Dr. Zhonghua Zheng (Assistant Professor in Data Science & Environmental Analytics), Chair Professor David Topping (Professor of Digital Environment, Fellow of the Alan Turing Institute), and Chair Professor Hugh Coe (Professor of Atmospheric Composition). I also serve as a reviewer for the ES&T Air and Journal of Geophysical Research: Atmospheres (JGRA)

My research interests encompass the development and application of advanced modeling and data-driven approaches to address key challenges in atmospheric science. Specifically, I focus on particle-resolved aerosol dynamic modeling to capture the detailed evolution of aerosol populations, cloud parcel modeling to investigate aerosol–cloud interactions, and the integration of machine learning techniques to enhance the prediction and understanding of complex atmospheric processes. I focus on aerosol mixing states, black carbon, and atmospheric nanoplastics, aiming to quantify their environmental behavior and radiative impacts through data-driven and mechanistic approaches.

🔥 News

🎓 Educations

  • 2023.09 - now, PhD Student, Environmental Science, The University of Manchester, Manchester, UK
  • 2018.02 - 2021.02, MS, Environmental Engineering, University of Melbourne, Melbourne, Australia
  • 2013.09 - 2017.06, BEng, Environmental Engineering, Shandong University, Jinan, China

📦 Software and Toolkits

sym

pmcpy: A Python package for PartMC post-processing

Zhonghua Zheng, Fei Jiang

DOI Docs GitHub binder pipy Downloads license

  • Processed simulation output files (NetCDF format) from PartMC-MOSAIC for particle-resolved analysis.
  • Performed particle-level CCN activation calculations using κ-Köhler theory to assess cloud condensation nuclei activity under varying supersaturation conditions.
  • Simulated and calculated aerosol optical properties, including absorption and scattering coefficients, based on particle composition and mixing state.

💼 Working Experience and Activities

  • 2025 - present: Python Package Developer (pmcpy) - Added optical and cloud microphysics analysis capabilities to the PartMC output processing pipeline
  • 2025.03 - present: Coordinator for the Centre for Atmospheric Science (CAS) Seminar series (monthly), The University of Manchester, UK.

  • 2021.06 - 2023.08, Project manager, Shanghai Electric Environmental Protection Group, Shanghai, China.

    • Responsibilities include full-cycle on-site project management, from process design to construction implementation.
    • Main focus: Process design for domestic and pharmaceutical wastewater treatment, anaerobic equipment design, and commissioning.
    • Executed projects:
      • Fuzhou Pharmaceutical Wastewater EPC Project (4 million RMB scale);
      • Inner Mongolia Pharmaceutical Wastewater EPC Project (20 million RMB scale).

👐 Volunteering

📖 Teaching Experiment

  • 2025.01 - 2025.06: Teaching Assistance (TA) for EART11200 - The Natural Scientist’s Toolkit, The University of Manchester, UK.
  • 2025.01 - 2025.06: Teaching Assistance (TA) for EART60702 - Earth and Environmental Data Science, The University of Manchester, UK.
  • 2024.08: Teaching Assistance (TA) for the undergraduate student exchange program between the School of Earth Sciences, Zhejiang University, China, and The University of Manchester, UK.
    • Topic: Emulator development using AutoML with a case study on aerosol mixing state prediction

💬 Oral and Poster

🎖 Honors and Awards

📝 Publications