معرفی
Nianqiao 'Phyllis' Ju is an Assistant Professor of Mathematics at Dartmouth College (starting July 2025) and previously held a tenure-track position at Purdue University's Department of Statistics (2021–2025). She earned her Ph.D. in Statistics from Harvard University (2021) and a B.A. in Mathematics & Physics from Wellesley College (2016). Her research focuses on Bayesian statistics, Monte Carlo methods, differential privacy, and computational biology. She has received awards such as the Showalter Trust Young Investigator Award and NIH-NIAID funding for her work on disease progression modeling. She is also involved in the Online Monte Carlo Seminar and maintains a blog (phylliswithdata.wordpress.com) to communicate statistical ideas broadly.
- Education: Ph.D., Harvard University; B.A., Wellesley College
- Affiliations: Dartmouth College (2025–present), Purdue University (2021–2025)
- Professional Activities: Organizer of the Online Monte Carlo Seminar, YouTube channel for statistical content
Her research spans theoretical and applied domains, including privacy-preserving Bayesian inference, MCMC convergence analysis, and computational methods for genetic data. Recent work includes developing the SOMA sampler and SNP-Slice framework for mixed infection analysis. She has authored over 10 peer-reviewed articles and secured multiple grants, including NIH-NIAID funding for systems biology research.
Teaching responsibilities at Dartmouth include courses on probability and applied statistics (e.g., MATH 20, MATH 146). Her advising includes overseeing students in computational and privacy-focused projects.
