I am a Ph.D. candidate in Computer Science at Stanford, advised by Professor Nigam Shah. I develop and examine machine learning methods used for clinical decision support.

I collaborate with the Panoptykon Foundation with the goal of combating AI hype and supporting EU policymakers in regulating automated decision systems that impact humans, and run Computer Science and Civil Society at Stanford.

Before joining Stanford, I completed a B.S.E. in Computer Science at Princeton University with a minor in Statistics and Machine Learning, where I did research with Professors Barbara Engelhardt and Sebastian Seung.


An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
Stephen R. Pfohl, Agata Foryciarz, Nigam H. Shah
(under review)

Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking
Giovanni Campagna, Agata Foryciarz, Mehrad Moradshahi, Monica S. Lam.
Association for Computational Linguistics (ACL), 2020.

From Theory to Practice: Where do Algorithmic Accountability and Explainability Frameworks Take Us in the Real World
Katarzyna Szymielewicz, Anna Bacciarelli, Fanny Hidvegi, Agata Foryciarz, Soizic Pénicaud, Matthias Spielkamp.
CRAFT Session at the ACM Fairness, Accountability and Transparency (FAT*) Conference, 2020. Barcelona.
[abstract, website]

Mitochondrial Size Gradients in Cortical Neurons Suggested by 3D Electron Microscopy
Nicholas L. Turner, Runzhe Yang, Agata Foryciarz, Kisuk Lee, William Silversmith, William Wong, Jingpeng Wu, Sven Dorkenwald, T. L. Lewis, Yusuke Hirabayashi, Franck Polleux, Nuno da Costa, R. Clay Reid, H. Sebastian Seung.
Society for Neuroscience Conference, 2018

Identification of allele-specific expression quantitative trait loci using a Poisson generalized linear model
Agata Foryciarz, Genna Gliner, YoSon Park, Barbara E Engelhardt.
Women in Machine Learning Workshop at NeurIPS, 2017



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, May 2020

Black-Boxed Politics: Opacity is a Choice in AI Systems
Agata Foryciarz, Daniel Leufer, Katarzyna Szymielewicz
Medium, January 2020


Raport: Sztuczna inteligencja non-fiction
Internetowa publikacja we współpracy z Fundacją Panoptykon

Podcast Panoptykon 4.0: Sztuczna inteligencja non-fiction
Agata Foryciarz, Katarzyna Szymielewicz
Podcast w Radio Tok FM, Lipiec 2020
[link, youtube]

Dane, uprzedzenie i krzywda z algorytmu
Agata Foryciarz, Monika Redzisz
Wywiad dla portalu Sztuczna Inteligencja, Maj 2020

Chi controlla l’intelligenza artificiale 
Agata Foryciarz, Daniel Leufer, Katarzyna Szymielewicz
Translation for Internazionale 1346, February 2020

Czy sztuczna inteligencja może być obiektywna?
Agata Foryciarz, Jan Stradowski
Podcast w Radio Tok FM, Maj 2019

Nauka za granicą

I used to serve as a US college admissions mentor at Project Access, which works to provide access to education at world’s top universities to students coming from underrepresented countries and backgrounds. If you want to become a mentee or a mentor, sign up here.

Jeśli jesteś uczniem i zastanawiasz się nad wyjazdem za granicę na liceum bądź studia,  odwiedź zakładkę nauka za granicą.