Atmospheric science is my research passion. Throughout over a decade of study and work in this interesting area, I've gained rich experiences in various sub-branches of atmospheric science. My expertise lies in atmospheric environment studies by computational methods. For example, I develop and apply 3-dimensional atmospheric chemical transport models to investigate the sources, transport, and physio-chemical processes of air pollutants. Currently, I'm interested in the impact of extreme climate on air quality, health, agriculture, and ecosystem. I also have a keen interest in data science and AI. I love coding and try to apply statistical tools (including machine learning/deep learning) to my environmental science research. If you are interested in potential research collaborations, pursuing postgraduate studies, or seeking an undergraduate internship with me, please do not hesitate to reach out. 

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Scholarship opportunity for PhD students.

There is a tuition waiver scholarship available. Teaching assistant or research assistant position is available to cover living expenses.

**Desired Background** 

- A Master's degree in atmospheric science, computer science, environmental data science, or a related field. 

- Proficiency in at least one programming language, preferably Python. 

- Familiarity with atmospheric numerical models, particularly 3D atmospheric chemical transport models (such as GEOS-Chem, WRF-Chem, or WRF-CMAQ). 

- Experience with machine learning and deep learning, including practical applications. 

- Strong academic writing skills, with publications or solid writing samples. 

- Self-motivated and passionate about life. 

Development of atmospheric numerical models for airborne pollen simulation.

Impact of extreme climate on air quality, health, agriculture, and ecosystem. 

Sources, transport, and physio-chemical processes of air pollutants and greenhouse gases.

Machine learning/deep learning, and other statistical tools in environmental science applications.

Assistant Professor, Xi’an Jiaotong-Liverpool University, 2023 - present

Scientist (permanent position), Norwegian Meteorological Institute - 2019-2023

Postdoc, Swiss Federal Laboratories for Materials Science and Technology (Empa) - 2018-2019

Thesis Supervision (primary supervisor if no comment)

Master student: Shiwen Shao (2024), Ruixun Xia (2025), Zixuan Zheng (2026)

FYP: Nan Rao (2023, co-supervisor), Xinyu Chen (2024), Jinhao Fan-Yifan Yao-Laobu Tan-Wancheng Ge (2025)

SURF supervision

2024 Review of numerical models for airborne pollen and relevant data collection from literature.

Module Teaching

ENV319 Humans and Environmental Pollution (AY23-24, AY24-25, Module Leader)

ENV316 Environmental Engineering (AY22-23, Module Leader, Module Developer)

ENV221 Introductory Statistics for Environmental Scientists (AY22-23, co-teach)

ENV301 Final Year Project (AY22-23, AY23-24, AY24-25 Supervisor, AY24-25-S2 Module Leader)

Member of Jiangsu Provincial Association for International Science and Technology Development, 2024 -

Guest Editor for the journal "Sustainability", 2024

Reviewer for the journal "Atmospheric Chemistry and Physics", "Geoscientific Model Development", etc. 

Chinese Government Award for Outstanding Self-financed Students Abroad, 2018

Max Planck Society full PhD scholarship, 2014

Nanjing University Graduate with Honor, 2011