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Stanley Z. Hua
PhD Student @ UC Berkeley & UCSF, Berkeley, USA
stanley.z.hua@gmail.com

Hi! My name is Stan, and I want to create robust yet cautious machine learning systems that can meaningfully improve patient care, especially for those in under-served communities.

I care deeply about the usefulness of machine learning when deployed clinically. My current research interests revolve around algorithmic bias and methods to rigorously evaluate and monitor AI.

I also believe in slow science, which is not about time to completion but about the careful and meticulous art of advancing science.

Shoot me an email if you’d like to chat! And if you include the word “stupefy” in your email, I’ll know you read this :).

Interests

  • Trustworthy ML for Health
  • Accessible Health Tech

Academia

University of California, Berkeley
2025 - 2030 (Expected)
PhD. Computational Precision Health
University of California, San Francisco
2025 - 2030 (Expected)
PhD. Computational Precision Health
University of Toronto
2019 - 2024
B.Sc. Computer Science Specialist

News

Publications

Lack of children in public medical imaging data points to growing age bias in biomedical AI, 2026, Nature Health
Stanley Hua , Nicholas Heller , Stan He , Alex J. Towbin , Irene Y. Chen , Alex X. Lu , Lauren Erdman
Uncertainty Drives Social Bias Changes in Quantized Large Language Models, 2026, ICLR 2026 Workshop on Agents in the Wild & Workshop on Principled Design for Trustworthy AI
Stanley Hua , Sanae Lotfi , Irene Y. Chen
Longitudinal image-based prediction of surgical intervention in infants with hydronephrosis using deep learning: Is a single ultrasound enough?, 2025, PLOS Digital Health (2025) & SIPAIM (2022)
Stanley Hua , Adree Khondker , ... , Mandy Rickard , Lauren Erdman
Machine Learning-Enabled Renal Ultrasound View Labeling to Expand Use of Point-Of-Care Imaging in Community Settings, 2024, Nature Conference on Precision Child Health
Stanley Hua , Lauren Erdman
Supervised Contrastive Learning for Improved View Labeling in Pediatric Renal Ultrasound Videos, 2023, 20th IEEE International Symposium on Biomedical Imaging (ISBI)
Stanley Hua , Irene Y. Chen , Alex X. Lu , Lauren Erdman
CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning, 2021, NeurIPS Workshop on Learning Meaningful Representations of Life
Stanley Hua , Alex Lu , Alan Moses

Projects

Includes research projects, passion projects and hackathons.
[Passion Project] Alexandria: An AI Book Maker using ChatGPT
[Research] The Effect of PCA Dimensionality on K-Means Clustering of Medical Images (under small sample sizes)