I’m a Research Engineer at Google AI Language and a Visiting Scientist at Harvard Biostatistics.
My research work focus on developing theoretical foundations for uncertainty quantification in machine learning procedures, and also on scalable algorithm for large-scale inference. At Google AI, I use my methods to enable AI agents to have better conversation and make better decision under uncertainty. At Harvard Biostatistics, I apply my method to environment/climate modelling and health effect estimation in large-scale epidemiological studies.
For more information, please see my Vitae.