Katherine Heller

Google (United States) — United States

Computer Science · Physical Sciences

34h-index5.2kcitations156works8.92yr avg
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Research Topics

Bayesian Methods and Mixture Models(27), Machine Learning in Healthcare(27), Artificial Intelligence in Healthcare and Education(16), Digital Mental Health Interventions(14), Gaussian Processes and Bayesian Inference(11)

Publications156 total

Large scale analysis and prediction of adverse maternal health events across heterogeneous populations from the All of Us dataset
2025Open Access
Development of the treatment prediction model in the artificial intelligence in depression – medication enhancement study
npj Mental Health Research·2025· 4 citedOpen Access
Nteasee: Understanding Needs in AI for Health in Africa - A Mixed-Methods Study of Expert and General Population Perspectives
2025· 1 citedOpen Access
Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis
Scientific Reports·2025· 2 citedOpen Access
Speech Recognition with LLMs Adapted to Disordered Speech Using Reinforcement Learning
2025· 2 cited
Development and evaluation of deep learning models for cardiotocography interpretation
npj Women s Health·2025· 3 citedOpen Access
Stop treating `AGI' as the north-star goal of AI research
arXiv (Cornell University)·2025Open Access
Erasing More Than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts
ArXiv.org·2025Open Access
AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset
2025· 4 citedOpen Access
Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations
NEJM AI·2024· 11 cited
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations
The Lancet Digital Health·2024· 79 citedOpen Access
AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset
arXiv (Cornell University)·2024· 4 citedOpen Access
The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa
2024· 13 cited
A toolbox for surfacing health equity harms and biases in large language models
Nature Medicine·2024· 63 citedOpen Access
Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases
arXiv (Cornell University)·2024· 2 citedOpen Access
Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives
arXiv (Cornell University)·2024· 1 citedOpen Access
Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression – Medication Enhancement (AID-ME) Study
2024· 3 citedOpen Access
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
arXiv (Cornell University)·2024· 6 citedOpen Access
Development and Evaluation of Deep Learning Models for Cardiotocography Interpretation
2024· 3 citedOpen Access
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Frequent Co-authors

Zoubin Ghahramani(9), Mark Sendak(8), Joseph Futoma(7), Negar Rostamzadeh(6), Marzyeh Ghassemi(5), Stephen Pfohl(5), Alan Karthikesalingam(4), Nathan Brajer(4), Armando Bedoya(4), Cara O’Brien(4), Sanjay Hariharan(4), Diana Mincu(3), Jessica Schrouff(3), Joseph Alderman(3), Joanne Palmer(3), Melissa D. McCradden(3), Lauren Oakden‐Rayner(3), Francis McKay(3), Darren Treanor(3), Bilal A. Mateen(3)