Selected conferences and group meeting presentations
• Advancing global-scale pollen emission modeling in the Community Earth System Model (CESM3), American Geophysical Union (AGU) fall meeting, New Orleans, USA, 18 Dec 2025. [link]
• Deriving historical dust emissions for evaluating aerosol radiative forcings in climate models, Composition Air quality Climate inTeractions Initiative (CACTI) workshop, Exeter, England, UK, 17 Sep 2025. [link]
• Deriving historical dust emissions for evaluating aerosol radiative forcings in climate models, 18th International Global Atmospheric Chemistry (iCACGP-IGAC) Conference, Kuala Lumpur, Malaysia, 9 Sep 2024. [link]
• A new process-based desert dust emission scheme for global climate models: A case study in CESM2, American Geophysical Union (AGU) fall meeting, Chicago, USA, 16 Dec 2022. [link]
• A new process-based and scale-respecting desert dust emission scheme for global climate models: A case study in CESM2, European Geosciences Union (EGU) meeting, Austria, Vienna, 23 May 2022. [link]
• Improving global model simulations of desert dust emissions with application to the Community Earth System Model (CESM), presented for the PhD candidacy exam at the Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, 26 August, 2020. [link]
• Using extreme gradient boosting (XGBoost) to model and forecast PM2.5 air quality, prepared for the Graduate Division of Earth and Atmospheric Sciences, The Chinese University of Hong Kong, 13 July, 2020. [link]
• Dust cycle simulations in the Community Earth System Model (CESM), presented at the group meeting of the Earth, Wind & Particles Research Group, University of California, Los Angeles, 27 January, 2020. [link]
• Synoptic weather systems driving fine particulate matter (PM2.5) sensitivity to climate change, presented at the Sao Paulo School of Advanced Sciences (SPSAS), Sao Paulo, Brazil, 22 July, 2019. [link]
• An introduction to neural network: principles and applications, presented at the group meeting of Tai Group of Atmosphere-Biosphere interactions (TGABI), The Chinese University of Hong Kong, 24 January, 2018. [link]
• Synoptic meteorological modes of variability of fine particulate matter (PM2.5) in China: implications of climate change on air quality, presented at the American Geophysical Union (AGU) 2017 fall meeting, New Orleans, United States, 14 December, 2017. [link]
• Approaches in unsupervised learning in identifying meteorological and pollution regimes: principal component regression, cluster analysis, and singular spectrum analysis, presented at the group meeting of Tai Group of Atmosphere-Biosphere interactions (TGABI), The Chinese University of Hong Kong, 26 October, 2017. [link]
• Weighting of multimodel ensembles with a Markov Chain-Monte Carlo Approach: quantifying uncertainties of future projections of climate and PM2.5 air quality, presented at the group meeting of Tai Group of Atmosphere-Biosphere interactions (TGABI), The Chinese University of Hong Kong, 2 March, 2017. [link]
• Meteorological modes of variability of fine particulate matter (PM2.5) air quality in China, presented for the undergraduate thesis defense (ESSC4820), The Chinese University of Hong Kong, 4 May, 2016. [link]