Susan Murphy lab

Postdoc @ZipingXu0221 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

Postdoc @ZipingXu0221 is giving the mDOT webinar “Reinforcement Learning for Digital Health in the Dyadic Setting” tomorrow! See mhealthhub.org/training/mdot-… for more info

Here is postdoc @asimhgazi finishing up his workshop talk “Wearables for eHealth and Wellness: from research and innovation to clinical translation” at IEEE #embc2025 in Copenhagen!

The special session "Sensor-Informed Closed-Loop Systems for Personalized Health Support" at EMBC 2025, led by postdoc @asimhgazi and co-organized with @walshharvard, will take place tomorrow at 1:00 pm CET! For more info, see embc.embs.org/2025/program/

Postdoc @asimhgazi was at the Schmidt 2025 Interdisciplinary Science Summit last week. Here is a nice shot of him beside an artistic representation of his work to use biosensor information to support people under stress in the right ways and at the right times!

It was a pleasure to work with my colleagues on the SAB of the IMS at NUS Singapore (ims.nus.edu.sg). Many interesting mathematical proposals!

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

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

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

Two Murphy lab postdocs are presenting at ICSA 2025 tomorrow! For conference info, see symposium2025.icsa.org

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

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

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

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

I’m looking forward to giving an @SLDS_ASA 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…

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…

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

Congratulations to grad student Sarah Rathnam, who successfully defended her PhD thesis today!!

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

Congratulations to grad student @AnnaLiTrella on her successful PhD thesis defense!!