Jin X.

Jin X. is a Research Data Scientist at Google, specializing in the Google Gemini project, which aims to enhance data quality for large language model teams. Prior to Google, Jin X. served as a Machine Learning Scientist at GRAIL, contributing to early cancer detection through classifier improvement and multimodal data fusion. Jin X. also participated in the Fusion Fund's Venture Fellowship Program, gaining insights into venture capital. Previous roles include Applied Scientist at Uber, where Jin X. led the launch of algorithmic driver pricing, a Research Consultant at Stanford School of Medicine, developing online tools for COVID-19 response, and various internships at Facebook, Stanford Children's Health, DawnLight, and Microsoft, focusing on machine learning and data science applications. Jin X. holds a PhD in Operations Research and Statistics from Stanford University, along with a BS in Computational and Applied Mathematics from Peking University and a certificate in Innovation and Entrepreneurship.