Linying obtained her bachelor’s in Statistics from Fudan University and Master’s in Computational and Mathematical Engineering from Stanford University, where she developed several statistical methodologies to facilitate Stanford Hospital on capacity planning during COVID-19 crisis. After graduating from Stanford, she worked in Microsoft New England Research Centre for two years as an AI Data & Applied Scientist, scoping complicated business demands into statistical and machine learning problems and applied cutting-edge ML algorithms to solve them. She used to help the Department of Education, Tasmania to build a model that predicts vulnerable students and suggests interventions when she was in Microsoft. Having been interested in Causal Inference, Bayesian Statistics, Stochastic Process and Representation Learning, she is passionate about making ML solutions more responsible, transferable and explainable. Besides Statistics and ML, Linying loves travelling, food, nature and animals. She enjoys diverse cultures and hanging out with friends. She is always curious and eager to try new things
Linying Yang
