Projects
since 2021
Aerosol particles profoundly affect climate, air quality, and weather, yet their complex behavior poses ongoing challenges in climate science. My distinctive research journey encompasses particle-resolved box models, regional and global atmospheric models, as well as cloud chamber experiments and machine learning applications. This broad expertise enables me to derive critical insights into its role in air quality, optical properties, aerosol-cloud interaction and climate systems. By integrating single particle level understanding with large-scale modeling, my work fosters innovative approaches to address environmental challenges and support the development of effective climate policies.
Particle-Resolved Box Model
Developed expertise in simulating the physicochemical evolution of individual aerosol particles at the microscale, revealing fundamental processes that govern particle growth and activation.
Regional-Scale Modeling
Advanced to simulating aerosol-cloud interactions and air quality at the city and regional level, quantifying the drivers behind pollution events and cloud formation.
Global Modeling & Machine Learning
Leveraged machine learning and global atmospheric models to predict CCN concentrations and aerosol impacts on clouds and climate.