Michelle Dunn is a Program Director and Mathematical Statistician in the Surveillance Research Program (SRP) within the Division of Cancer Control and Population Sciences (DCCPS) at the National Cancer Institute. Dr. Dunn received her undergraduate degree in Applied Mathematics from Harvard University, and her Doctor of Philosophy degree in Statistics from Carnegie Mellon University, where she worked with Dr. Jay Kadane on the detection of anomalies in web traffic.

Dr. Dunn's primary role at SRP is to manage a portfolio of statistical grants. SRP's statistical portfolio includes both statistical methodology development and translational research, often within the same grant. Topics are varied and include survival analysis, missing data, sequential analysis, and Bayesian inference.

In addition to her grant-related activities, Dr. Dunn works on the Cancer Intervention and Surveillance Modeling Network (CISNET) models for esophageal cancer and consults with the Small Business Innovation Research (SBIR) group. She also serves as an associate editor for CHANCE Magazine and is the current chair-designate of the American Statistical Association’s Committee for Federally Funded Research.

Dr. Dunn's work is focused around enabling the biostatistical community to contribute to cancer research – not just in the short term by being consultants, but in the long term, by addressing complex quantitative problems and ensuring the continued health of the Statistics profession.