Stephen R Pfohl

Researcher, Google

Joined

May 2020

Names

Stephen R Pfohl (Preferred)

Stephen Robert Pfohl

Stephen Pfohl

Stephen R. Pfohl

Emails

****@stanford.edu (Confirmed)

****@gmail.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Researcher

Google (google.com)

2022 – Present

PhD student

Stanford University (stanford.edu)

2016 – 2021

Undergrad student

Georgia Institute of Technology (gatech.edu)

2012 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Nigam Shah

2016 – 2021

Expertise

fairness

transfer learning

causal inference

distribution shift

2018 – Present

electronic health records

machine learning

2015 – Present

Publications

Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness.
Stephen R. Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Salaudeen, Awa Dieng, Shannon Sequeira, Santiago Eduardo Arciniegas, Lillian Sung, Nnamdi Ezeanochie, Heather Cole-Lewis, Katherine A. Heller, Sanmi Koyejo, Alexander D'Amour
- CoRR 2025
- Readers: Everyone
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025
Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom et al. (73 additional authors not shown)
- CoRR 2025
- Readers: Everyone
Decoding Safety Feedback from Diverse Raters: A Data-driven Lens on Responsiveness to Severity
Pushkar Mishra, Charvi Rastogi, Stephen R Pfohl, Alicia Parrish, Tian Huey Teh, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
- Accepted by TMLR
- Readers: Everyone
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
Stephen R. Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Salaudeen, Awa Dieng, Shannon Sequeira, Santiago Eduardo Arciniegas, Lillian Sung, Nnamdi Ezeanochie, Heather Cole-Lewis, Katherine A. Heller, Sanmi Koyejo, Alexander D'Amour
- CoRR 2025
- Readers: Everyone
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
Stephen R Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Elijah Salaudeen, Awa Dieng, Shannon Sequeira, Santiago Eduardo Arciniegas, Lillian Sung, Nnamdi Peter Okechukwu Ezeanochie, Heather Cole-Lewis, Katherine A Heller, Sanmi Koyejo, Alexander Nicholas D'Amour
- NeurIPS 2025 poster
- Readers: Everyone
Nuanced Safety for Generative AI: How Demographics Shape Responsiveness to Severity
Pushkar Mishra, Charvi Rastogi, Stephen R. Pfohl, Alicia Parrish, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
- CoRR 2025
- Readers: Everyone
Nteasee: Understanding Needs in AI for Health in Africa - A Mixed-Methods Study of Expert and General Population Perspectives
Mercy Asiedu, Iskandar Haykel, Awa Dieng, Kerrie Kauer, Tousif Ahmed, Florence Ofori, Charisma Chan, Stephen Pfohl, Negar Rostamzadeh, Katherine A. Heller
- FAccT 2025
- Readers: Everyone
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking
Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alexander Nicholas D'Amour, Krishnamurthy Dj Dvijotham, Adam Fisch, Katherine A Heller, Stephen Robert Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant
- COLM
- Readers: Everyone
The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa
Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller
- EAAMO 2024
- Readers: Everyone

View all 50 publications

Co-Authors

View all 277 co-authors