Susan Murphy lab (@susanmurphylab1) 's Twitter Profile
Susan Murphy lab

@susanmurphylab1

Designing trial and developing data analytic methods for informing intervention optimization in digital health

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linkhttp://people.seas.harvard.edu/~samurphy/ calendar_today05-03-2019 19:51:19

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Check out today’s story in the Harvard Gazette about mHealth apps as pocket personal coaches! See news.harvard.edu/gazette/story/…

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Our special session on "Sensor-Informed Closed-Loop Systems for Personalized Health Support" led by postdoc Asim Gazi and co-organized with Conor Walsh has been accepted for the 47th Annual Int'l Conf. of the IEEE Engineering Medicine and Biology Society in Copenhagen this July!

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Tomorrow former postdoc Hsin-Yu Lai is presenting “Harnessing Causality in Reinforcement Learning with Bagged Decision Times” on work with postdoc Daiqi Gao, Pedja Klasnja, and myself at AISTATS Conference 2025! See virtual.aistats.org/virtual/2025/p… for more info

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I’m delighted to be giving a plenary talk at The Past, Present, and Future of Statistics in the Era of AI, a conference in celebration of GW Statistics’ 90th anniversary! For more info on the conference, see statistics.columbian.gwu.edu/gw-stat-90

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Postdoc Daiqi Gao is giving the talk “Harnessing Causality in Reinforcement Learning with Bagged Decision Times” tomorrow at SCI-ACIC 2025! For more information, see sci-info.org/annual-meeting…

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Postdoc Ziping Xu is giving the mDOT webinar “Reinforcement Learning for Digital Health in the Dyadic Setting” tomorrow! See mhealthhub.org/training/mdot-… for more info

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Postdoc Ziping Xu is talking on casual DAG-informed reward design tomorrow in the invited session Advancing Causal Inference and Data Science in Digital Health: Novel Methodologies and Applications at NESS 2025! For more info, see symposium.nestat.org

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I’m looking forward to giving an Statistical Learning & Data Science webinar, “Reinforcement Learning in the Dyadic Setting,” on Wed June 4 at 3:30 pm EST! To get tickets (free), see eventbrite.com/e/reinforcemen…

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I am really looking forward to discussing personalizing JITAIs in tomorrow’s Grand Rounds in the Department of Preventive Medicine at Northwestern tomorrow! For more information, see planitpurple.northwestern.edu/event/629359

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Daiqi Gao’s ICSA 2025 presentation tomorrow is “Harnessing Causality in Online Reinforcement Learning for Digital Interventions.”

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Ke Sun’s ICSA 2025 presentation tomorrow is presenting “Distributional Reinforcement Learning with Regularized Wasserstein Loss.”

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Congratulations to Anna Trella on her new position as Applied Scientist in the personalization department at Amazon, where she will be exploring new frontiers in RL!

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Here’s a great short from Schmidt Science Fellows on postdoc Asim Gazi’s work building intelligent algorithms to help wearable devices provide real-time mental health support! youtu.be/-Z59iiMlbJA?si…

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Congratulations to Yongyi Guo on her new NSF award “Addressing Data Scarcity in Reinforcement Learning: Inference and Decision-Making under Complex Environments”!! Yea, Yongyi!

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Congratulations to my colleague Billie Nahum-Shani, whom University of Michigan has just honored with a Collegiate Research Professorship!! A very well deserved recognition of her high-impact scientific work!