Dasha Ayoub
Founder & Principal Consultant at Office of Data Science and Emerging Technologies (ODSET), NIAID – Contract via Axle Informatics
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolDasha Ayoub is a data scientist and founder with eight years of experience applying epidemiology, reproducibility principles, and metadata strategy to public health research and mission-driven organizations. She holds a PhD in Epidemiology from the University of Pittsburgh and an MPH from Yale, and currently supports NIAID’s Office of Data and Emerging Technologies through federal contracting while leading The Data Incline. Her work bridges hands-on bioinformatics and automated pipelines with high-level policy and grant portfolio analyses, improving metadata infrastructure, FAIR alignment, and research reproducibility. A published researcher who developed the first detailed reproducibility framework for infectious disease modeling, she translates technical audits into practical documentation and funding‑ready data systems. Based in Pittsburgh, she combines academic rigor with consultancy pragmatism to help teams reduce "data chaos" and scale sustainable data ecosystems.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Epidemiology, Doctor of Philosophy - PhD, Epidemiology at The University of Pittsburgh Graduate School of Public HealthMaster of Public Health (M.P.H.), Epidemiology of Microbial Diseases, Master of Public Health (M.P.H.), Epidemiology of Microbial Diseases at Yale School of Public HealthBachelor of Arts - BA, Biology, Bachelor of Arts - BA, Biology at University of Minnesota-Morris
Russian, Spanish
Github Skills (4)
modeling6
deep-learning5
machine-learning5
python5
Github contributions (5)
midas-network/midas-student-repo
Dec 2020 - Mar 2021
This repository is for sharing any resources you find useful in your studies, whether that be code, literature, or other materials that you feel would contribute to our group. Please help us build this into a useful environment for those studying infectious disease modeling to help one another learn!
Contributions:27 commits, 27 pushes in 2 months
studyingpythoninfectious-diseasedeep-learningsharing
dasha-pokutnaya/HPM573_Pokutnaya_Hw10
Apr 2018 - Apr 2018
Contributions:9 pushes, 1 branch in 1 day
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