Susan Murphy lab
@SusanMurphylab1
Followers
3K
Following
23
Media
91
Statuses
431
Designing trial and developing data analytic methods for informing intervention optimization in digital health
Cambridge, MA
Joined March 2019
It was a pleasure to work with my colleagues on the SAB of the IMS at NUS Singapore (. Many interesting mathematical proposals!
0
0
1
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!.
0
0
7
Congratulations to @yongyi_guo on her new NSF award “Addressing Data Scarcity in Reinforcement Learning: Inference and Decision-Making under Complex Environments”!! Yea, Yongyi!.
0
1
4
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!
0
1
9
Two Murphy lab postdocs are presenting at ICSA 2025 tomorrow! For conference info, see
0
0
0
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!.
0
0
8
Ke Sun’s ICSA 2025 presentation tomorrow is presenting “Distributional Reinforcement Learning with Regularized Wasserstein Loss.”.
0
0
5
Daiqi Gao’s ICSA 2025 presentation tomorrow is “Harnessing Causality in Online Reinforcement Learning for Digital Interventions.”.
0
0
1
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
0
2
7
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
0
0
8
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
0
0
6
Postdoc @ZipingXu0221 is giving the mDOT webinar “Reinforcement Learning for Digital Health in the Dyadic Setting” tomorrow! See for more info.
0
0
5
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
0
0
0
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
0
1
5
Congratulations to grad student Sarah Rathnam, who successfully defended her PhD thesis today!!
0
0
16
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 for more info.
0
0
5
Postdocs Daiqi Gao and @ZipingXu0221 are presenting at today’s @KempnerInst all-hands meeting!.
0
0
4
Our special session on "Sensor-Informed Closed-Loop Systems for Personalized Health Support" led by postdoc @asimhgazi and co-organized with @walshharvard has been accepted for the 47th Annual Int'l Conf. of the @IEEEembs in Copenhagen this July!.
0
1
8
Check out today’s story in the Harvard Gazette about mHealth apps as pocket personal coaches! See
0
1
12