@SusanMurphylab1

Designing online learning and decision-making algorithms to optimize digital health interventions

 Cambridge, MA
people.seas.harvard.edu/~samurphy/
Joined March 2019
  • Tweets543
  • Following91
  • Followers2.8K
129Media
Postdoc Asim Gazi’s poster “Leveraging Signal Quality Indices in Uncertainty-Informed Decision Making for Adaptive Interventions” won the runner-up Best Poster award at IEEE EMBS BSN 2026!!
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Postdoc Asim Gazi is presenting a poster titled “Leveraging Signal Quality Indices in Uncertainty-Informed Decision Making for Just-in-Time Adaptive Interventions” at IEEE EMBS BSN 2026 tomorrow in Portugal!
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I’m looking for a postdoc to join my lab. Come work on use-inspired research in reinforcement learning for digital health!! To apply, see academicpositions.harvard.ed…

Postdoctoral Fellow at Harvard in RL with Applications in Digital Interventions!

Join us as a postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health, including experimental...

academicpositions.harvard.edu
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I’m glad to be among the co-authors on Jason Gibbons’s “Reinforcement Learning for Repetitive Transcranial Magnetic Stimulation Protocol Selection in Treatment-Resistant Depression,” which was just accepted by NPJ Digital Medicine. A great example of careful use of AI methods!
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My heartfelt congratulations to my colleague Tracy Ke on her promotion to a full tenured professorship in the Harvard Statistics department!
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I look forward to speaking oin the AHSR 2026 workshop "Innovations in Methods for Adaptive and Personalizing Prevention, Treatment, and Recovery Services for SUD" tomorrow! See medicine.utah.edu/internal-m… for more information.

AHSR 2026 Workshops

medicine.utah.edu
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Postdoc Asim Gazi is presenting at AHSR 2026 too! His presentation is “Uncertainty-Informed Decision Making for Intelligent Mobile Health Interventions.”
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Former grad student Susobhan Ghosh is presenting “Random-effects based online RL algorithm for the MiWaves JITAI to reduce cannabis use among emerging adults” at AHSR 2026 in Salt Lake City! For conference info, see medicine.utah.edu/internal-m…

AHSR 2026

medicine.utah.edu
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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…

CLIMB + Neyman + EECS Colloquium with Susan Murphy: Online Reinforcement Learning for Digital...

Online Reinforcement Learning for Digital Health Interventions in the Dyadic Setting We present our ongoing work on the development of an online reinforcement learning (RL) algorithm that personali...

cdss.berkeley.edu
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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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The Murphy lab welcomes new postdoc Jixin Li, who just finished his PhD at Northeastern!
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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/

Machine Learning for Healthcare

Machine Learning for Healthcare MLHC brings clinicians and AI researchers together to turn complex medical data into actionable insight.

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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