Name pronounciation: agata fɔrɨt͡ɕaʂ (Recording)

CV (PDF)

I am an incoming postdoctoral fellow at the Stanford Department of Epidemiology and Population Health and Stanford Center on Longevity, working with Professors David Rehkopf and Nilam Ram. My interdisciplinary research draws from machine learning, biostatistics, decision science, health services research, social epidemiology and community engaged research to study how statistical models used in US primary care affect health inequities, and how to build systems which alleviate, rather than exacerbate them.

Previously, I completed a PhD in Computer Science under the supervision of Professor Sherri Rose, and was a member of the Health Policy Data Science Lab at the Stanford Department of Health Policy.

Ongoing projects

A participatory approach for understanding social drivers of chronic kidney disease progression
Agata Foryciarz*, Neha Srivathsa*, Oshra Sedan, Lisa Goldman Rosas, Sherri Rose

We conducted a participatory research study to understand specific ways in which social factors (e.g. housing, transportation, adverse experiences, access barriers, direct discrimination) impact chronic kidney disease patients’ ability to manage their condition. In a series of focus groups (completed in October and November 2024) and model building workshops (completed in January 2025), participants were guided through a multi-step process of constructing a causal loop diagram representing social factors and their interactions.

*Both authors contributed equally to this work

Selected Academic Publications

A microsimulation-based framework for mitigating societal bias in primary care data
Agata Foryciarz, Fernando Alarid-Escudero, Gabriela Basel, Marika Cusick, Robert L. Phillips, Andrew Bazemore, Alyce S. Adams, Sherri Rose
Under review
[medRxiv preprint] [code]

• Joint Statistical Meetings 2024 Invited Paper
• RAND Statistics Seminar Series 2024
• International Conference on Health Policy Statistics 2025 Presentation

Incorporating area-level social drivers of health in predictive algorithms using electronic health record data
Agata Foryciarz, Nicole Gladish, David H. Rehkopf, Sherri Rose
Journal of the American Medical Informatics Association 2025, ocaf009.
[paper]

Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation
Agata Foryciarz, Stephen R. Pfohl, Birju Patel, Nigam H. Shah
BMJ Health & Care Informatics 29, e100460.
[paper] [preprint] [code]

Clinical utility gains from incorporating comorbidity and geographic location information into risk estimation equations for atherosclerotic cardiovascular disease
Yizhe Xu, Agata Foryciarz, Ethan Steinberg, Nigam H. Shah
Journal of the American Medical Informatics Association 30 (5), 878-887, 2023.
[paper] [preprint]

Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare
Stephen R. Pfohl, Yizhe Xu, Agata Foryciarz, Nikolaos Ignatiadis, Julian Genkins, Nigam H. Shah
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency. 2022.
[paper] [preprint] [paper talk]

A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
Stephen R. Pfohl, Haoran Zhang, Yizhe Xu, Agata Foryciarz, Marzyeh Ghassemi, Nigam H. Shah.
Scientific Reports 12 (1), 1-13, 2022
[paper] [code]

An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
Stephen R. Pfohl, Agata Foryciarz, Nigam H. Shah.
Journal of Biomedical Informatics, 113:103621, 2021
[paper] [preprint] [code]

Non-academic Publications

If We’re Not Careful, Tech Could Hurt the Fight against COVID-19
Ria Kalluri, Lauren Gillespie, Agata Foryciarz, Wren Elhai, Sanjana Srivastava, Argyri Panezi, Lisa Einstein.
Scientific American Blog, 2020.
[article]

Black-Boxed Politics: Opacity is a Choice in AI Systems.
Agata Foryciarz, Daniel Leufer, Katarzyna Szymielewicz.
Medium and Internazionale (Italian translation)
[English] [Italian]

Sztuczna Inteligencja Non-Fiction.
Anna Obem, Katarzyna Szymielewicz. Współpraca merytoryczna: Agata Foryciarz
Fundacja Panoptykon, 2020.
[Polish]