In a new study appearing in JACS Au, UC Davis researchers harness the power of machine learning to improve the molecular interpretation of a spectroscopy technique that’s prominently used to investigate the air-ice interface, the critical boundary area for these chemical reactions.

Fushing Hsieh, a professor in the Department of Statistics, discussed the wide-ranging nature of his research in a conversation paradoxically titled “Statistical Analysis is Unscientific.”

We live in a data-laden world. From the smartphone in your pocket and the satellites flying overhead to the demographics of a city and global banking transactions, data production is a constant fount. Assistant Professor of Statistics Xiao Hui Tai's research lives at the intersection of statistics and the social sciences.  

At the College of Letters and Science at UC Davis, researchers are using the power of machine learning to help protect us from the next pandemic, discover and build new materials, and explore the myriad galaxies in the heavens above.