Postdoctoral Research Fellow at Stanford Center on Longevity
San Francisco, California, United States
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Summary
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Agata Foryciarz is a postdoctoral research fellow at Stanford with a decade of experience at the intersection of computer science, epidemiology, and data-driven health policy. Her PhD work blends health equity, algorithmic bias, and social epidemiology—examining how diagnostic and prognostic tools for chronic kidney and cardiovascular disease perform across populations. She pairs deep technical skills in machine learning, causal and statistical modeling, and biomedical data with practical experience translating methods for nontechnical audiences gained through policy consulting and industry internships. Based in San Francisco, she has worked across academic labs and industry teams (including The New York Times and Autodesk), and she uniquely focuses on ensuring that automated health tools center human decision-making and equity.
10 years of coding experience
2 years of employment as a software developer
B.S.E. Computer Science, B.S.E. Computer Science at Princeton University
High School Diploma Pre-Medicine/Pre-Medical Studies, High School Diploma Pre-Medicine/Pre-Medical Studies at The August Witkowski 5th High School
UPC Universitat Politècnica de Catalunya
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
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Agata Foryciarz - Postdoctoral Research Fellow at Stanford Center on Longevity