After getting her Ph.D in Mathematics/Statistics from Cornell University, Linda taught in UCLA, Los Angeles for one year. She joined the Wharton School in 1994. She obtained a BS degree from the Mathematics department of Nankai University, China.
Linda’s research area covers statistical machine learning, data-driven decision-making, crowdsourcing, post-selection inference, network analysis, nonparametric Bayes, equity ownership, education in data science. Current on going projects include equity network, inference for high dimensional data, data with measurement errors and post model selection inferences.