Faculty

Sascha Dublin

Affiliate Professor, Epidemiology

206-287-2870

Education

PhD Epidemiology, University of Washington, 1999
MD University of Washington, 2001

Contact

206-287-2870

Kaiser Permanente Washington Health Research Institute
1730 Minor Avenue, Suite 1600
Seattle, WA 98101

Research Interests

Dr. Dublin’s research interests include pharmacoepidemiology, pregnancy outcomes and perinatal epidemiology; aging; and cardiovascular epidemiology. Her work uses real-world health care data from Group Health and many other sources to better understand the safety and effectiveness of medications and other medical interventions.  She often focuses on the impact of interventions in vulnerable populations, particularly pregnant women and older adults. She also has interest and expertise in using novel statistical and epidemiologic methods to answer real-world questions, such as the use of two-phase study designs to reduce bias and Natural Language Processing  to extract information from electronic medical records (EMRs).  She is the Group Health site Principal Investigator for the Medication Exposures in Pregnancy Risk Evaluation Program (MEPREP), a multisite collaboration that has developed data sets including 1.2 million pregnancies across 11 health plans to examine medication safety in pregnant women.

Recent Publications (PubMed)

Piezoelectric cold atmospheric plasma modulates neurogenic cell proliferation and differentiation via cross-signaling.
(2026 Jun)
IBRO Neurosci Rep 20(): 772-784
Zhang H, Cai B, Li J, Wang Z, Xu M, Li D, Tan F

The genome sequence of Geoffroy's Bat, Myotis emarginatus (Geoffroy, 1806) (Chiroptera: Vespertilionidae).
(2026)
Wellcome Open Res 11(): 258
Ruedi M, Mai M, Teeling EC, Vernes SC, Bat1K Consortium, Wellcome Sanger Institute Tree of Life Management, Samples and Laboratory team, Wellcome Sanger Institute Scientific Operations: Sequencing Operations, Wellcome Sanger Institute Tree of Life Core Informatics team, Tree of Life Core Informatics collective, Darwin Tree of Life Consortium

Bridging the Gap: A Cross-Sectional Study of Hemodialysis Services and Patient Psychosocial Burden in Semi-urban Punjab, Pakistan.
(2026 May)
Cureus 18(5): e108166
Shahid MA, Laila Z, Arif MZ, Shahjahan Y

Performance of Deep Learning Models in Endoscopic Severity Assessment of Inflammatory Bowel Disease: A Systematic Review.
(2026 May)
Cureus 18(5): e108178
Mohammed A, Mohammed A, Elshiekh A, Talballah S, Hussein Mohamed WM, Mohammedallayla ID, Ali M, Elsamani EA

Revolutionizing Stem Cell Sorting with Machine Learning: A Review of Trends, Tools, and Future Directions.
(2026 May)
Iran J Med Sci 51(5): 285-304
Mousazadeh M, Jahangiri-Manesh A, Soltaninejad H, Yazdi F, Rahimian K, Curran KM, Khashayar P

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