Projects

Aerosol-cloud interactions and atmospheric chemistry



Atmospheric aerosols play a critical role in the atmosphere by serving as cloud condensation nuclei (CCN).


My work focuses on chemical processes between gas and particle phases, with the purpose of advancing the understanding of the roles of heterogeneous and multiphase reactions in climate and air quality using modeling techniques.

Computational simulation of aerosol composition and multiphase chemistry


The complexity of understanding atmospheric multiphase chemistry arises from challenge in dealing with chemical species in multiple phases.

My work leverages the capability of the particle-resolved aerosol model PartMC to study how aerosol-related processes (e.g., heterogeneous and multiphase reactions) are influenced by different assumptions regarding aerosol representation.

Data science and high performance computing (HPC)



Novel computational models are powerful tools to advance the understanding of aerosol-related processes.

I use and develop aerosol-chemistry models to predict and interpret simulation results. My recent work involves dealing with large datasets (GB to TB size data) to evaluate model predictions using obervational data and assess the impact of simplified aerosol representation on model accuracy.

Aerosol models can be classified based on their approach to discretizing the aerosol number distribution function.

Scientific visualization makes things easier by transforming complex data into intuitive visual formats.