World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
29779
World Ranking
3937
National Ranking
1869

Overview

James Zou is affiliated with Stanford University in the United States. Their research predominantly intersects the fields of Computer Science and Medicine, with a focus on several subfields including Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Health Informatics, and Cardiology and Cardiovascular Medicine.

The main topics of their work cover domains such as Artificial Intelligence in Healthcare and Education, Topic Modeling, Single-cell and Spatial Transcriptomics, Cell Image Analysis Techniques, Explainable Artificial Intelligence (XAI), Machine Learning and Data Classification, and Natural Language Processing Techniques.

Among their recent publications are:

  • Video-based AI for beat-to-beat assessment of cardiac function, 2020, Nature
  • Integrating spatial gene expression and breast tumour morphology via deep learning, 2020, Nature Biomedical Engineering
  • From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment, 2023, Cell
  • A visual-language foundation model for pathology image analysis using medical Twitter, 2023, Nature Medicine
  • Deep learning interpretation of echocardiograms, 2020, npj Digital Medicine

Frequent co-authors contributing to their research include:

  • David Ouyang
  • Bryan He
  • Eric Q. Wu
  • Zhenqin Wu
  • Kyle Swanson

The venues in which James Zou's work has been regularly published encompass:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Communications
  • Nature

Best Publications

  • Analysis of protein-coding genetic variation in 60,706 humans

    Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha

  • Man is to computer programmer as woman is to homemaker? debiasing word embeddings

    Tolga Bolukbasi;Kai-Wei Chang;James Zou;Venkatesh Saligrama

  • A single-cell transcriptomic atlas characterizes ageing tissues in the mouse

    Nicole Almanzar;Jane Antony;Ankit S. Baghel

  • Word embeddings quantify 100 years of gender and ethnic stereotypes.

    Nikhil Garg;Londa Schiebinger;Dan Jurafsky;James Zou

  • Video-based AI for beat-to-beat assessment of cardiac function.

    David Ouyang;Bryan He;Amirata Ghorbani;Neal Yuan

  • A primer on deep learning in genomics.

    James Zou;Mikael Huss;Abubakar Abid;Pejman Mohammadi

  • AI can be sexist and racist — it’s time to make it fair

    James Zou;Londa Schiebinger

  • Interpretation of Neural Networks is Fragile

    Amirata Ghorbani;Abubakar Abid;James Y. Zou

  • Locus-specific editing of histone modifications at endogenous enhancers using programmable TALE-LSD1 fusions

    Eric M Mendenhall;Kaylyn E Williamson;Deepak Reyon;James Y Zou

  • Deep learning interpretation of echocardiograms.

    Amirata Ghorbani;David Ouyang;Abubakar Abid;Bryan He

  • Integrating spatial gene expression and breast tumour morphology via deep learning

    Bryan He;Ludvig Bergenstråhle;Linnea Stenbeck;Abubakar Abid

  • How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

    Eric Wu;Kevin Wu;Roxana Daneshjou;David Ouyang

  • Persistent Anti-Muslim Bias in Large Language Models

    Abubakar Abid;Maheen Farooqi;James Zou

  • Towards Automatic Concept-based Explanations

    Amirata Ghorbani;James Wexler;James Y. Zou;Been Kim

  • Data Shapley: Equitable Valuation of Data for Machine Learning

    Amirata Ghorbani;James Y. Zou

  • Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies.

    Elior Rahmani;Noah Zaitlen;Yael Baran;Celeste Eng

  • Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review.

    Roxana Daneshjou;Mary P Smith;Mary D Sun;Veronica Rotemberg

  • MOPO: Model-based Offline Policy Optimization

    Tianhe Yu;Garrett Thomas;Lantao Yu;Stefano Ermon

  • Epigenome-wide association studies without the need for cell-type composition

    James Zou;Christoph Lippert;David Heckerman;Martin Aryee

  • Multiaccuracy: Black-Box Post-Processing for Fairness in Classification

    Michael P. Kim;Amirata Ghorbani;James Zou

  • Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations.

    Zachary Izzo;Mary Anne Smart;Kamalika Chaudhuri;James Y. Zou

Frequent Co-Authors

David C. Parkes
David C. Parkes Harvard University
Carlos Bustamante
Carlos Bustamante Stanford University
Daniel G. MacArthur
Daniel G. MacArthur Garvan Institute of Medical Research
Adam Tauman Kalai
Adam Tauman Kalai Microsoft (United States)
Howard Y. Chang
Howard Y. Chang Amgen (United States)
David Tse
David Tse Stanford University
Gregory Valiant
Gregory Valiant Stanford University
Manuel A. Rivas
Manuel A. Rivas Stanford University
Monkol Lek
Monkol Lek Yale University
Konrad J. Karczewski
Konrad J. Karczewski Harvard University

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