Liang Yang

Liang Yang is a highly skilled research scientist currently employed at Verisk since August 2021, specializing in hydrometeorological hazard modeling and stochastic catalog generation. Prior to this role, Liang worked as a data scientist at Zdaly, focusing on AI methods for fraud detection using autocorrelated time series data. Liang also gained extensive experience as a research assistant at Stanford University from September 2016 to June 2021, where statistical algorithms were developed for analyzing complex spatial data and assessing risks. Additionally, teaching assistant roles were undertaken in courses related to subsurface systems and geographical information systems. Liang's educational background includes a PhD in Geological Sciences/Geostatistics from Stanford University, a Master's degree in Structural Geology from Sun Yat-sen University, and a Bachelor's degree in Geoinformatics from the same institution.