Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care by Anna Trella at AAAI-23, Washington DC , May 2021.
Data, Personalization, Digital Health! by S Murphy, Quantitative Science Grand Rounds, Dept of Machine Learning, Moffitt Cancer Center Oct. 2022.
Inference for Longitudinal Data After Adaptive Sampling by S Murphy, Jon A. Wellner Lecture at the Univ. of Idaho Sept 2022.
Counterfactual Inference in Sequential Experimental Design by Raaz Dwivedi at the Simons Institute, Berkeley, CA Feb 2022.
Assessing Personalization in Digital Health by Susan Murphy at in the University of Oxford Dept of Statistics' Distinguished Speaker Seminar, Oxford, June 2021.
Learning both within and between trials involving sequential decision making by Susan Murphy in a session with Jonas Peters and moderated by Cathy Wu and Emre Kiciman for the CSAIL-MSR Trustworthy and Robust AI Collaboration (TRAC) Colloquium, Cambridge , May 2021.
We used RL but.... Did it work?! by Susan Murphy at the Stanford Biomedical Data Science Seminar Series, May 2021.
Data, Personalization, Digital Health! by Susan Murphy to SESSTIM, Marseille, France, Feb. 2021.
Challenges in Developing Learning Algorithms to Personalize Treatment in Real Time by Susan Murphy to the Statistics Dept. UCLA, November 2020.
Data, Personalization, Digital Health! by Susan Murphy to the Archimedeans, University of Cambridge Mathematical Society, October 2020.
Clinical Trial Designs for Personalizing Digital Interventions by Susan Murphy at the GMDS & CEN-IBS 2020, September 2020.
Intelligent Pooling: Practical Thompson Sampling for mHealth by Susan Murphy at the SAMSI Numerical Analysis for Data Science Opening Workshop, August 2020.
Inference for Batched Bandits in the Online Causal Inference Seminar, May 2020.
Challenges in Developing Learning Algorithms to Personalize Treatment in Real Time, one hour into the video of the Workshop on Machine Learning in Real Life, International Conference on Learning Representations, April 2020
Treatment Policies: Closing the Loop between Sensors and Treatment at the Workshop on “Use of Wearable and Implantable Devices in Health Research,” at the Banff International Research Station, Feb., 2020
Challenges in developing learning algorithms to personalize treatment in real time at the Workshop on the Analysis of Data from mHealth Intervention Studies, Singapore, 2019
Stratified
micro-randomized trials with applications in mobile health at the Workshop
on Design of mHealth Intervention Studies, Singapore, 2019
Mobile
Health Intervention Optimization, Public Lecture at the Workshop on Design of mHealth
Intervention Studies, Singapore, 2019
Challenges
in developing learning algorithms to personalize treatment in real time at the Workshop
on Analysis of Data from mHealth Intervention Studies, Singapore, 2019
Time-Varying Causal Effects,
Office of Population Research Notestein Seminar,
Princeton, 2018
Fisher
Lecture at JSM 2018, Stratified Micro-randomized Trials starts at minute 20
Analyzing
Data from a Micro-randomized Trial, 1 & 1 Webinar sponsored by the
Methodology Center, PSU, 2018
Micro-randomized Trials,
1 & 1 Webinar sponsored by the Methodology Center, PSU, 2018
Prevention Science Methodology Group on Jan. 9, 2018. Assessing Time-Varying Causal Interactions and Treatment Effects with Applications to Mobile Health by S. Murphy .
Time-Varying Causal Treatment Effects by S. Murphy, 2017 Harvard DBMI .
Introduction to Just-In-Time Adaptive Interventions (JITAIs) in mHealth by S. Murphy , PennState Methodology Center
Introduction to Micro-Randomized Trials in mHealth by S. Murphy , PennState Methodology Center
Introduction to Data Analyses to Inform the Development of JITAIs by S. Murphy , PennState Methodology Center
Optimizing mHealth Interventions by S. Murphy, Technology in Psychiatry Summit, 2017
Google Webinar: Micro-randomized Trials in Mobile Health, April, 15, 2016 by S. Murphy .
Webinar by Dr. A. Kilbourne on SMARTs: Oct. 1, 2015.
MD2K Webinar on Micro-randomized Trials for JITAI Development, April 30, 2015, by Susan Murphy.
Bradley Lecture on Micro-Randomized Trials & mHealth, April 24, 2015 by Susan Murphy
Keynote Address at the 2015 Doctoral Hooding Ceremony, UNC-Chapel Hill, May 9, 2015 by Susan Murphy
Susan Murphy, Statistician, 2013 MacArthur Fellow
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