Qing Shen

Qing Shen is a skilled Data Scientist currently working at Domestic & General, focusing on leveraging Generative AI and Large Language Models to analyze unstructured data and enhance marketing through classification models. Prior experience includes a postdoctoral position at the University of California, Davis, where Qing conducted lipidomic analyses related to Alzheimer's Disease, and served in various roles that involved quantitative analysis of lipids, delivering guest lectures, mentoring junior researchers, and providing academic support to students. Qing's foundational experience as a Research Assistant at Zhejiang University involved developing a linear regression model for predicting the shelf life of soybean oil. Qing holds a PhD in Food Science from Zhejiang University and has additional qualifications in Neuroscience and Food Science from the University of California, Davis.