Alice Liu

Alice Liu works as a Quantitative Analytics Specialist in the Corporate Model Risk team at Wells Fargo. Alice’s work at Wells Fargo mainly focuses on exploring and researching supervised machine learning models and their applications. Areas of her work include machine learning interpretability, model weakness, and designing dataset partitions. Prior to joining Wells Fargo, Alice earned a Ph.D. in Statistics from the University of Virginia, where her focus was on applications of statistical methods to forensic science and eyewitness identification data. She worked on multiple multidisciplinary teams in order to spread statistical awareness and knowledge. She also specialized in understanding and extending asymptotic theory for random forest predictions as part of her doctoral work. Alice also holds a Masters in Statistics from the University of Virginia.