Junying (Alice) Fang is a Research Software Engineer at DDSS, specializing in machine learning, statistical analysis, and high-performance computing. Her work primarily focuses on developing products to apply statistical methods and machine learning for analyzing large-scale social science datasets.

Alice holds a Master's degree in Financial Engineering from Columbia University and a Bachelor's degree in Economics and Mathematics from Vanderbilt University. She has previously worked as a research professional and data scientist on various projects involving natural language processing, applied econometrics, and mathematical modeling at Princeton ORFE, UChicago Economics, and Columbia Business School.