Summary
Dechao Tian is an associate professor and computational biostatistician with a decade of experience developing statistical models and machine learning methods for public health, biomedicine, and genomics. He holds a PhD in Statistics from the National University of Singapore and has applied advanced modeling—from differential graphical models to 3D chromatin organization—to bridge large-scale genomic, proteomic, and epidemiological data. His work spans academia and public health practice, including outbreak detection at the CDC and translational research at Sun Yat-sen University, reflecting a rare mix of methodological depth and real-world impact. Known for tackling noisy, high-dimensional biological problems, he combines rigorous probabilistic modeling with practical software skills in R and Python to turn complex data into actionable insights.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Mathematics and Statistics, Bachelor of Science (BS), Mathematics and Statistics at Northeast Normal University
Doctor of Philosophy (Ph.D.), Statistics and Applied Probability, Doctor of Philosophy (Ph.D.), Statistics and Applied Probability at National University of Singapore
Chinese, English