Helena is a researcher focused on using machine learning to improve emergency pediatric care. She has recently submitted a PhD in computational cancer modelling at University College London. Previously, she received undergraduate and master’s degrees in physics from the University of Cambridge.

Recent Papers

Ethnoracial disparities in emergency department triage are more pronounced in lower-risk visits: a multicenter study
Blanca Romero Milà, Helena Coggan, Andrew M. Fine, Yuval Barak-Corren, Ben Y. Reis, Jaya Aysola, Pradip P. Chaudhari, William G. La Cava (2026)
Nature Communications
Deep Time-to-Event Models for Intrapartum Fetal Monitoring
Guilherme Seidyo Imai Aldeia, Helena Coggan, Yuting Yang, Lisa Levine, Jennifer A. McCoy, William G. La Cava (2026)
Proceedings of Machine Learning Research (PMLR) · Machine Learning for Health (ML4H)

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