ProfileDr. Tenglong Li is an applied statistician who has extensive experience in epidemiological, biomedical and social science research. His main research interest includes Tuberculosis, COVID-19, batch effects in genomic data and infectious disease modeling. His methodological work focuses on Bayesian inference, causal inference and statistical computation. He teaches courses such as Advanced Methods in Biostatistics and Statistical Computing with SAS. He also has collaborated with educational, sociological and psychological researchers as a statistical consultant during his career.
Dr. Tenglong Li obtained his Ph.D. degree in Measurement & Quantitative Methods and a Master degree in Statistics from Michigan State University. He completed his postdoctoral training at Boston University (in the department of biostatistics and department of computational biomedicine). He was also a lecturer and faculty affiliate at Northeastern University, teaching courses for the graduate programs in Analytics and Commerce and Economics Development.
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Xi'an Jiaotong-Liverpool University