We're seeking work on all the different types of health time-series research, from biosignal foundation models to clinical causal decision making. We are excited to see your research!
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Lastly, Huge thanks to our advisory committee: Jim Rehg, Dimitris Spathis, Satya Shukla, Sujay Nagaraj @snagaraj.bsky.social, Tom Hartvigsen @tomhartvigsen.bsky.social, and Sana Tonekaboni!
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Big thanks to our co-organizers: Max Xu @maxxu05.bsky.social
Girish Narayanswamy, Wanting Mao
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π₯ Keynote lineup π₯
Shwetak Patel (UW / Google)
Emily Fox (Stanford / Inistro)
Anna Goldenberg (UToronto / SickKids)
Jaya Narain (Apple)
Edward Choi (KAIST)
Mathew McDermott (Columbia)
@mattbmcdermott.bsky.social
Xi Zhang (Oura)
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Call for Papers!
Submit your work by August 22, 2025 (AOE) β³
We're also awarding a $500 Best Paper Prize π
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What makes TS4H special?
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Cross-domain discussion
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Diverse perspectives: Google, Oura, Apple, and 5 top institutions
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Community-driven posters and talks
Weβre building bridges between ML & real-world healthcare through physiologically-aware methods.
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Home | Learning from Time Series for Health
NeurIPS Workshop on Learning from Time Series for Health.
π©Ίπ The "Learning from Time-series for Health (TS4H)" workshop is BACK at NeurIPS 2025 π₯³!
This workshop unites researchers across health time-series domains (from wearables to clinical systems) to tackle shared challenges. Details: timeseries4health.github.io 𧡠(1/6)
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Dedicated to building a transdisciplinary community in machine learning for health.
www.ahli.cc
Conference on Health, Inference, and Learning (chil.ahli.cc)
Machine Learning for Health Symposium (ahli.cc/ml4h)
Assistant Professor of Data Science at UVA developing responsible machine learning and NLP methods for ever-changing environments. https://www.tomhartvigsen.com/
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
Associate professor, Chalmers University of Technology. Machine learning for decision making & healthcare. http://healthyai.se, http://fredjo.com
MD/PhD student | University of Toronto | Machine Learning for Health
Prof @Wharton @Penn; machine learning for health & social good; foodie, gamer, homebody
machine learning for health at microsoft research, based in cambridge UK π» she/her
Chief Technology Officer, Lila Sciences - Professor @ Harvard
Founding Editor NEJM AI, Co-host AI Grand Rounds ποΈ, Co-founder Generate Biomedicines, Inc
Assistant professor of biomedical data science and dermatology at Stanford. AI for healthcare. Associate editor at NEJM AI and the Journal of Investigative Dermatology. Mother of a sassy girl and a baby boy.
Senior Research Scientist @MBZUAI. Focused on decision making under uncertainty, guided by practical problems in healthcare, reasoning, and biology.
Translation Studies researcher. PhD project explores the influence of fan culture on professional manga and anime translation (specifically, Sailor Moon!).
Also JA-EN translator.
Really an advocate for all things naff.
ζ₯ζ¬θͺOK!
Assistant Prof at UCSD. I work on safety, interpretability, and fairness in machine learning. www.berkustun.com
Assistant Professor at Stanford. Trustworthy, deployable ML/NLP for healthcare.
Research scientist at Google. Previously Stanford Biomedical Informatics. Researching #fairness #equity #robustness #transparency #causality #healthcare
Pediatrician and Clinical Geneticist at UW/Seattle Childrenβs. (PGY4)
PhD in Machine Learning for Healthcare
Past: Harvard Med, MIT, Stanford
Faculty at UC San Diego. #rstats. Creator of Tidier.jl #julialang. #GoBlue. Views own.
ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF.
https://irenechen.net/
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing π·, creator of d2l.ai & approximatelycorrect.com
AI @ OpenAI, Tesla, Stanford
