Summary
Tenglong Li is a postdoctoral fellow in biostatistics at Boston University and a lecturer in analytics at Northeastern with eight years of experience applying quantitative methods to public health and social science problems. He holds a PhD in Measurement and Quantitative Methods (3.98 GPA) from Michigan State University and has deep expertise in causal inference, Bayesian modeling, and statistical computation. Tenglong has a track record of translating advanced methodology into practical tools—developing Bayesian robustness indices for causal claims, adapting resampling estimators to propensity-score analyses, and helping evaluate validity in finite mixture settings. He combines rigorous theoretical work with hands-on teaching, having taught multivariate analysis and latent variable modeling while mentoring students in R, SPSS, and SAS. Based in Boston, he blends academic publication experience with applied biostatistics in computational medicine, often bridging methodological innovation and applied data analysis. An understated strength is his knack for disproving entrenched assumptions through formal proofs and reproducible technical reports.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Marketing, Bachelor's degree, Marketing at Huazhong University of Science and Technology
Doctor of Philosophy (PhD), Measurement and Quantitative Methods, 3.98, Doctor of Philosophy (PhD), Measurement and Quantitative Methods, 3.98 at Michigan State University
Chinese, English