Chuan Tian is a Senior Data & Applied Scientist at Microsoft and a PhD candidate in Statistics with a Computer Science minor, blending rigorous probabilistic modeling with practical engineering to deliver production-ready data solutions. With a progression through multiple data science roles at Microsoft since 2020 and an early research internship at Lyft, he applies scalable algorithms and parallel computing techniques to real-world problems. His academic research produced a hierarchical Bayesian estimator for compositional microbiome data and a hybrid coordinate-descent/Newton-Raphson algorithm that outperformed state-of-the-art methods on ROC benchmarks. He also mentors and teaches graduate students in R-based data analysis and has extensive experience consulting across scientific domains, translating domain questions into statistically sound, actionable analyses. Based in Bellevue, WA, Chuan brings a rare combination of deep statistical theory, hands-on algorithm development, and production experience at a major cloud-scale organization.
1 year of coding experience
4 years of employment as a software developer
Bachelor's degree Biological Sciences, Bachelor's degree Biological Sciences at Nankai University
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at Oregon State University
Master’s Degree Statistics, Master’s Degree Statistics at Washington State University
Contributions:23 reviews, 8 PRs, 3 pushes in 4 months
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