Designing online learning and decision-making algorithms to optimize digital health interventions
Cambridge, MA
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I am really looking forward to talking on online RL for digital health interventions in the dyadic setting at a joint CLIMB and Neyman seminar at UC Berkeley tomorrow! For info, see cdss.berkeley.edu/events/cli…
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I am looking forward to presenting virtually on online RL in personalizing digital health interventions today at noon in the UMass Chan Medical School's Shriver Academic Seminar Series!
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Congratulations to my collaborator Rose Rocchio and her team for their poster on the Oralytics System Architecture! Rose will deliver a lightning round pitch and the poster at the 2026 Digital Health Workshop 4.0 (see bioeng.ucla.edu/upcoming-eve…).
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Congratulations to my colleague @ZipingXu0221 on his NSF DT-BioTech award “Mechanistic-Neural Foundations for Digital Twins of Parkinson's Disease Symptom Dynamics Under Levodopa Treatment”! For more info on the project, see nsf.gov/awardsearch/show-awa…
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I am really looking forward to giving a keynote on reinforcement learning for digital health interventions in the dyadic setting at MLHC 2026 tomorrow in Baltimore! For conference info, see mlhc.org/
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It was a pleasure to meet up with Jim Rosenberger at JSM 2026 (ww2.amstat.org/meetings/jsm/…) and hear about his new edited book Gun Violence: The Statistical Issues!
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Postdoc Xueqing Liu (@SusieinMay) is presenting “Factorial Causal Excursion Effects for Longitudinal Multi-Component Interventions” in tomorrow morning’s JSM 2026 session Advances in Methodology for Complex Medical Trial Designs!
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I am looking forward to presenting on reinforcement learning for digital health interventions in the dyadic setting in the session Harnessing Artificial Intelligence for Causal Inference and Experimental Design at JSM tomorrow afternoon!
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It was a pleasure to meet up with my colleague Professor Haipeng Shen of the HKU Business School! His website is hkubs.hku.hk/people/haipeng-…
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It was a pleasure to meet up with my colleague Professor Haipeng Shen of the HKU Business School! His website hkubs.hku.hk/people/haipeng-…
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Former Murphy lab member Kelly Zhang (@kewzha) presents “Replicable Bandits for Digital Health Interventions” (co-authors Nowell Closser, Anna Trella, and me) in tomorrow's JSM 2026 session Recent Innovations in Covariate-Adjusted and Bandit-Based Designs for Clinical Trials!
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Congratulations to postdoc Young Hyun Cho on winning the 2026 ASA Statistical Learning and Data Science Student Paper Award for “Beyond Data Splitting: Full-Data Conformal Prediction by Differential Privacy”! Young will present this work at JSM tomorrow.
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Postdoc Xueqing Liu (@SusieinMay) is presenting at INFORMS Healthcare 2026 again! Today she is presenting on DAG-guided online reinforcement learning for adaptive activity suggestions on (joint work with me).
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The Murphy lab is delighted to welcome two new postdocs, Young Hyun Cho, who just finished his PhD in Statistics at Purdue, and Difan Song, who just graduated from Georgia Tech with a PhD in Industrial Engineering!
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Postdoc Xueqing Liu (@SusieinMay) is presenting “Learning When to Nudge: A Dual-Agent Bandit Framework for Behavioral Interventions” tomorrow at INFORMS Healthcare 2026, on work by Esmaeil Keyvanshokooh, Kyra Gan, Yongyi Guo, Xueqing, Anna Trella, and myself!
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At the 2026 @SchmidtFellows Interdisciplinary Science Summit at Duke, Asim gave the talk "Engineering Autonomous Wearable Systems to Reinforce Our Resilience Under Stress.”
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