ℹ️ Curriculum Vitae (Last updated on 2025.02.17)

💼 Positions

2024.07 - Now Research Fellow

2018.09 - 2024.06 (Expected) Ph.D. in Climatology

2014.09 - 2018.06
B.S. in Atmospheric Sciences

Background:
Atmospheric O₂ plays a crucial role in global biogeochemical cycles and is essential for supporting life. However, observations have indicated a declining atmospheric O₂ concentrations since the late 1980s. I used process-driven and data-driven models to explore the atmospheric O₂ budget on both regional and global scales.
Objective:
- Simulate and predict the global O₂ cycle in past and future climate scenarios.
- Quantify the human impact on regional atmospheric O₂ budget.
Contribution:
- Developed a novel and comprehensive inventory of global atmospheric O₂ uptake at 0.1°×0.1° resolution.
- Employed Earth system models to assess and predict the global atmospheric O₂ budget across various historical periods and future projections.
- Explored ‘urban respiration’ based on atmospheric O₂ measurements and a Lagrangian atmospheric transport model (STILT), and quantified contributions of fossil fuel combustion and resident respiration to O₂ variability in the urban atmosphere.
- Developed an atmospheric O₂ simulator based on explainable ensemble machine learning algorithms, and explored the non-linear dynamics between O₂ and various pollutants.
Impact:
The study I led presents one of the first high-precision atmospheric O₂ measurements in China and earned recognition with two front cover features in Environmental Science and Technology and Environmental Science and Technology Letters.

Background:
The COVID-19 pandemic has resulted in hugely disruptive impacts across almost all sectors of society. My role involved working in a multidisciplinary team to understand and predict the spread of the COVID-19 pandemic and to inform public health interventions.
Objective:
- Isolate the seasonal impact in the presence of limited data and difficulties in separating the impacts of social distancing.
- Build a Global Prediction System for the COVID-19 Pandemic that integrates the impact of environmental factors, public behaviors, government response, etc.
Contribution:
- Developed a rolling window method based on a Bayesian inference model and a nonlinear least-squares algorithm to solve the SEIR model parameters.
- Simulated a counterfactual scenario where COVID-19 is spreading without seasonality to isolate the seasonal impact.
- Used the EEMD method to decompose the COVID-19 time series to detect potential seasonal signals, and validated results against the simulations by the SEIR model.
- Led a multidisciplinary team to write up research work for peer-reviewed publications, and integrated my module into the Global Prediction System for the COVID-19 Pandemic.
Impact:
My first-authored paper has been cited by prestigious journals such as Nature Medicine and The Lancet Public Health. It has been recognized as a highly cited paper (Top 1%) since August 2021, and referenced in policy documents by the U.S. federal government and the European Union.

Programming Skills
- Proficient in Python, MATLAB, R, NCAR Command Language, FORTRAN, Markdown, LaTeX, etc.
Models & Methods
- Machine Learning, Time Series Analysis, WRF-Chem, dlnm, Causal Inference, High Performance Computing, Epidemic Models, etc.
Instrumentation
- Installation, maintenance, and calibration of instruments for O₂ and CO₂ measurements (e.g., Picarro G2207-i, Agilent 7890B)
Software
- Proficient in Adobe Photoshop, Adobe Illustrator, CorelDRAW for research visualization and illustration
English
- Proficient in academic and professional communication
- TOEFL: 109/120; CET-6: 634/710; CET-4: 628/710
Chinese
- native speaker

2025 Seal of Excellence for Marie Skłodowska-Curie Actions Postdoctoral Fellowships, European Commission
2021 National Scholarship for Doctoral Students (Top 1%)
2021 Baosteel Outstanding Student Special Scholarship (25 students in China annually)
2021 Merit Postgraduate Student of Lanzhou University (Top 5%)
2020,2023 The First Prize Scholarship for Doctoral Students (Top 10%)
2018,2019 The First Prize Scholarship for Graduate Students (Top 10%)
2016 Meritorious Winner, Mathematical Contest in Modeling (Top 7%)

Oral Presentation
- Investigating Climate and Environmental Changes and Tropical Diseases, Research Institute for Tropical Medicine, Department of Parasitology Annual Stakeholders’ and Feedback Meeting, Puerto Princesa City, Philippines, December 2024
- Harmonizing Climate Data for Enhanced Vector-Borne Disease Management, Infectious Disease Modelling Conference, Bangkok, Thailand, November 2024
- O₂ Footprint and Dryland Sustainability, The International Workshop on Geography and Sustainability 2023, Beijing, China, Oct, 2023
- ‘Urban Respiration’: Insights from O₂ Measurements, The 4th Atmospheric Oxygen Workshop, Brunswick, Maine, United States, Aug, 2023
- Urban O₂ Measurements in a Semi-arid Downtown, The 8th Youth Geoscience Forum, Wuhan, Hubei, China, May, 2023
Poster Presentation
- Global Prediction System for COVID-19 Pandemic,Climatological, Meteorological and Environmental factors in the COVID-19 pandemic (online symposium), WMO, Aug, 2020

Scientific Data, Environmental Research Letters, Science of the Total Environment, Environmental Research, SCIENCE CHINA Earth Sciences, Scientific Reports, etc.