Suzanne M. Dufault, PhD

Assistant Professor

University of California, San Francisco


I am an Assistant Professor of Biostatistics in the Department of Epidemiology and Biostatistics at the University of California, San Francisco. Working in close collaboration with UNITE4TB, my recent work includes methodological and applied research in the design, conduct, and analysis of randomized clinical trials in TB. Primarily, I aim to develop and expand therapeutic trial designs, with the goal of advancing designs that maintain the expected rigor and robustness to bias while removing many of the limitations common in gold standard approaches (e.g., arbitrary non-inferiority margins and large sample sizes).

I continue to collaborate with the World Mosquito Program to develop and apply novel statistical methodology for the analysis of data from (quasi-)experimental trial designs aimed at assessing the effectiveness of Wolbachia in the control of dengue.

Through consultancies and shorter-term research opportunities, I have also gained experience working with occupational cohort data, survey data, and biomedical big data.


  • biostatistics
  • epidemiology
  • social epidemiology
  • cluster randomized trials
  • phase IIB trials
  • test negative design
  • infectious diseases
  • reproducible research
  • innovative approaches to teaching
  • radiation oncology


  • PhD in Biostatistics, 2020

    University of California, Berkeley

  • MA in Biostatistics, 2017

    University of California, Berkeley

  • BA in Applied Mathematics and Statistics, 2015

    Macalester College

Recent Publications

A Flexible Multi-Metric Bayesian Framework for Decision-Making in Phase II Multi-Arm Multi-Stage Studies

We propose a multi-metric flexible Bayesian framework to support efficient interim decision-making in multi-arm multi-stage phase II …

Superwoman Schema and John Henryism among African American women: An intersctional perspective on coping with racism

John Henryism and Superwoman Schema are statistically distinct constructs. Understanding culturally-specific coping may inform how …

Recent Posts

Three Minute Abstract for World TB Day 2023

Note: This was originally the transcript of a 3-minute abstract presentation I gave during World TB Day 2023. I think it’s a nice, …

Recent Media

Faculty Spotlight: Suzanne Dufault, PhD

A recent interview between UCSF DEB and myself. Topics include an overview of my research, my passion for statistics, and my goals as new faculty.

Notable Articles of 2021

Our article (Utarini et al) reporting the primary results from the Applying Wolbachia to Eliminate Dengue (AWED) study was highlighted by the NEJM as one of the thirteen most clinically important articles published in the journal in 2021.

Breaking New Ground in Biostatistics

Suzanne Dufault ‘15 applies a biostatistics lens to pressing public health problems including dengue fever.

Les annees lumieres: Wolbachia, une alliee microscopique dans la lutte contre les virus.

Lutter contre la dengue avec une bacterie: Les details avec Renaud Manuguerra.

Study Shows Efficacy of Method for Reducing Dengue Fever Incidence

They found that using the Wolbachia method reduced the occurrence of dengue in the treated population by 77%, according to Jewell. This method involves introducing Wolbachia, a type of bacteria, into populations of Aedes aegypti, the mosquito species responsible for spreading dengue, according to Dufault.



Deaths of Despair

Working with Ellen Eisen, ScD at the University of California, Berkeley, we used an iconic occupational cohort database to explore the …

Statistical Methods for Clinical Trials of TB Therapeutics

My postdoctoral research at UCSF has focused on the development of a Bayesian-supported framework for decision-making in adaptive Phase …

Breast Cancer Research

Working with Mark Powell, MD MPH at the Buck Institute, I help examine genotype and blood biomarkers and their associations with …

Statistical Methods for Vector-Borne Disease Prevention

Vector-borne diseases are a growing threat to global health. I help develop statistical methods to rigorously evaluate the impact of …

Recent & Upcoming Talks

Beyond estimand specification: Considerations for estimand-aligned estimation

Proposing and comparing methods of estimation for cluster-randomized test-negative design trials.

Cluster-Level Analyses of Cluster Randomized Test-Negative Designs: Eliminating Dengue

Proposing and comparing methods of estimation for cluster-randomized test-negative design trials.

Awards and Certificates

Chin Long Chiang Award for Outstanding Doctoral Student

UC Dissertation-Year Fellowship

Statistical Significance Poster Award Runner Up

Joint Statistical Meetings Student Travel Award

Outstanding Graduate Student Instructor

Group 1 Biomedical Research Investigators Certification

See certificate

Research Aspects of HIPAA

Reshetko Family Scholarship in Honor of Chin Long Chiang