Faculty

Amanda Phipps

Associate Professor, Epidemiology
Graduate Program Director, Epidemiology
Associate Chair, Epidemiology


Education

PhD Epidemiology, University of Washington, 2010
MPH Epidemiology, University of California (Berkeley), 2003
BA Biological Sciences, Northwestern University, 2001

Contact


Box 351619
Department of Epidemiology
Hans Rosling Center for Population Health, 875
Seattle, WA 98195

Research Areas

Research Interests

Dr. Phipps's research interests span the fields of cancer epidemiology, molecular epidemiology, and clinical epidemiology. Her current projects focus on the relationship between modifiable lifestyle factors (e.g., smoking, obesity) and survival in individuals with biologically-distinct subtypes of colorectal cancer, and the impact of sleep and sleep disorders on cancer incidence and survival. She also has an interest in molecular subtypes of breast cancer, particularly in risk factors for the poor-prognosis triple-negative subtype of breast cancer.

Recent Publications (PubMed)

Incidence and Management of Early Breakthrough HSV Infection Among Allogeneic Hematopoietic Stem Cell Transplant Recipients.
(2026 Aug 4)
medRxiv
Fischer MD, Mohan R, Wald A, Phipps AI, Ford ES, Gooley T, Tverdek F, Biernacki MA, McCulloch DJ, Boeckh MJ, Johnston C, Pergam SA
Herpes Simplex Virus Serostatus and 1-Year Mortality Among Allogeneic Hematopoietic Cell Transplant Recipients.
(2026 Aug 2)
medRxiv
Fischer MD, Johnston C, Boeckh MJ, Ford ES, Gooley T, Phipps AI, Winer RL, Biernacki MA, McCulloch DJ, Sandmaier BM, Greninger AL, Wald A, Pergam SA
A Droplet Digital PCR Approach for the Quantitative Detection of Fusobacterium nucleatum in Formaldehyde-Fixed, Paraffin-Embedded Tumor Tissues.
(2026)
Methods Mol Biol 3055(): 33-41
Kahsai O, Phipps AI, Newcomb PA, Hullar MAJ
Wildfire smoke PM(2.5) and cancer history prevalence in the contiguous United States.
(2026 Aug 18)
Cancer Epidemiol 104(): 103199
Zewdie HY, Karasaki S, Cortez M, Lin J, Nondin C, Chao SLS, Donzella SM, Phipps AI, VoPham T
A deep learning framework for efficient pathology image analysis.
(2026 Jul 1)
Nat Commun 17(1):
Neidlinger P, Lenz T, Foersch S, Loeffler CML, Clusmann J, Gustav M, Shaktah LA, Langer R, Dislich B, Boardman LA, French AJ, Goode EL, Gsur A, Brezina S, Gunter MJ, Steinfelder R, Behrens HM, Röcken C, Harrison T, Peters U, Phipps AI, Curigliano G, Fusco N, Marra A, Hoffmeister M, Brenner H, Kather JN
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