News

Ayako and Yuan will form a team to help the energy industry with diffusion-driven weather forecasts.

The award recognizes outstanding teaching assistants for their tremendous service and dedication in providing excellent classroom instruction for Stanford students.

SLAC Scientist Steffen Luitz visited the Wang Lab and demonstrated a thermal diffusion cloud chamber to help students better understand cloud and aerosol physics.

Ava Aidala presented her reseach on ML prediciton of lightning-wildfire relationships in Stanford Undergraduate Research Symposium.

Sasha is accorded an Honorable Mention in the 2025 U.S. National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) competition.

Wang et al. (2024, Rev. Geophys.) synthesizes the latest progress in understanding changes in short-lived atmospheric compositions and their climate impacts during COVID-19.

Wang Lab co-led a study that reveals the previously underappreciated role of aerosol light absorption in mitigating PM pollution during severe haze events.

Gabriel Tsai presented his recent research on machine learning of warm rain microphysics during the Stanford Undergraduate Research Symposium

Group members got together to hand make dumplings and share their favoriate foods.

Yuan talked with Scientific American on the possible reasons for the puzzling Atlantic Hurricane Lull

Yuan co-found a new journal "npj Clean Air" as an inaugural Editor-in-Chief with Springer Nature.

Yuan led a multi-institute team to decipher the controlling factors for hurricane precipitaion using an explainable ML method.

Yuhan will join the lab in August of 2024. She recently obtained her PhD degree from UC Berkeley.

The Wang Lab received the 2023 Stanford Doerr Discovery Grant to mitigate uncertainty with solar geoengineering assessments

Sasha will join the lab in the Fall of 2024 as a new Ph.D. student in ESS. She is expecting a Bachelor of Science degree in Applied Math and Computation from Caltech in June, 2024.

We introduce a machine-learning approach that leverages dynamic traffic data to predict community-level air pollutant for environmental justice assessments.

The Houghton Award is given to an individual in recognition of research achievement in the fields of physical meteorology, physical climatology, atmospheric chemistry, or hydrology

Our particle-level observations reveal multi-level microphysical complexity of black carbon. Numerical models further quantify the related radiative forcing uncertainy.

The Macelwane medal “recognizes significant contributions to the Earth and space science by an early career scientist”. Yuan is also inducted into the AGU College of Fellow.

Members from Wang Lab will deliver five presentations (2 talks, 2 posters, 1 eLightning) and contribute to another 8 presentations in this year's AGU Fall Meeting.