July 1, 2025
🎉 We had an incredible time at the Conference on Health, Inference, and Learning (hashtag#CHIL2025) last week!
It was a fun, engaging, and deeply informative experience for our lab — from sharing our research to learning from the amazing work across the health + ML community. It was especially rewarding to see how much cross-disciplinary collaboration is driving progress in this space — and to contribute to those conversations ourselves!
👏 Huge shoutout to our lab members for their outstanding contributions:
🎤 Dr. Jessilyn Dunn presented the “Year in Review - January 2024 to January 2025” and served as a CHIL 2025 Program Chair 🏅
🎤 Hayoung Jeong presented “Improving A1C Screening in a Large Health System with Diabetes Awareness Text Messaging Campaign” and served as a CHIL 2025 Research Roundtable Co-Chair 💬
📊 Leeor Hershkovich presented “Missingness as a Biosignal: The Value of Missing Data in Real-World Wearables Usage”
🔬 Bill Chen and Annika Kumar presented “Characterizing Continuous Glucose Monitoring Patterns and Phenotypic Associations in Normoglycemic and Prediabetic Individuals”
⌚ Will Wang presented “WatchSleepNet: A Novel Model and Pretraining Approach for Advancing Sleep Staging with Smartwatches”
We’re so proud to be part of such a dynamic and impactful community at the intersection of health and machine learning. Thank you to the CHIL organizers and everyone who made this conference a success. Can’t wait for what’s ahead!
Duke BME
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