Danni Wu, Ph.D.

I am a statistician at Pfizer.

Before Pfizer, I was a postdoctoral research associate at Harvard University and earned my Ph.D. in Biostatistics at New York University.

Research interests

Bayesian adaptive design Bayesian hierarchical modeling Causal inference Statistical computing

Experience

2025 — present
Pfizer · Manager, Statistics · South San Francisco
Lead study statistican for oncology trials. Developed a Bayesian framework for early efficacy detection.
2024 — 2025
Harvard University · Postdoctoral Research Associate · Boston
Led analyses comparing dolutegravir- and efavirenz-based treatment on postpartum depression, and worked on the development of an augmented trial design combining randomized and observational data.
2019 — 2024
New York University · Ph.D. · New York
Developed a Bayesian adaptive design for a 2,369-patient prospective meta-analysis that informed FDA policy on COVID-19 convalescent plasma.
2023
Moderna · Statistics & Programming Intern, Oncology · Boston
Designed a Bayesian adaptive framework with surrogate endpoints for mRNA personalized cancer vaccine.

Education

2019 — 2024
New York University · Ph.D. in Biostatistics
Dissertation: Developing Bayesian Hierarchical Models for Advancing Analysis in Clinical Trials.
2017 — 2018
Cornell University · M.S. in Biostatistics and Data Science
2013 — 2017
Central University of Finance and Economics · B.S. in Applied Statistics, First Class Honors

Selected talks