Scholar
Stephen R. Pfohl
Google Scholar ID: Q0YPo5IAAAAJ
Google Research
Citations & Impact
Citations
7,347
H-index
26
i10-index
33
Publications
20
Co-authors
28
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers covering topics such as algorithmic fairness, health equity, and a causal perspective on label bias. For example, published a toolbox for surfacing health equity harms and biases in large language models in Nature Medicine; presented a paper on understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness at FAccT '24, etc.
Research Experience
- Senior research scientist at Google Research, with a focus on fairness, distribution shift, and equity in the context of healthcare applications.
Education
- PhD in Biomedical Informatics from Stanford University, advisor not specified, time not specified.
Background
- A senior research scientist at Google Research, focusing on incorporating fairness, distribution shift, and equity considerations into the design and evaluation of machine learning systems in healthcare contexts. Previously, completed a PhD in Biomedical Informatics at Stanford University in the Department of Biomedical Data Science.
Miscellany
- Based in San Francisco, CA, can be reached via Email, Twitter, LinkedIn, Github, and Google Scholar.
