| 08:45am - 09:00am | Registration | |
| 09:00am - 10:00am | Distinguished Visitor Lecture Series: Challenges in developing learning algorithms to personalize treatment in real time (Video) | Susan A. Murphy Harvard University, USA |
| 10:00am - 10:30am | Coffee Break & Group Photo | |
| 10:30am - 11:30am | Latent variable regression analysis of longitudinal multivariate data with irregular and informative observation times | Zhenke Wu University of Michigan, USA |
| 11:30am - 01:30pm | Lunch Break | |
| 01:30pm - 02:30pm | Parameterized exploration | Jesse Clifton North Carolina State University, USA |
| 02:30pm - 03:30pm | Robust tests in online decision-making: testing the utility of data collected by wearables | Jane Paik Kim Stanford University, USA |
| 03:30pm - 04:00pm | Coffee Break | |
| 08:45am - 09:00am | Registration | |
| 09:00am - 10:00am | Statistical inference for online decision-making: in a contextual bandit setting | Rui Song North Carolina State University, USA |
| 10:00am - 10:30am | Coffee Break | |
| 10:30am - 11:30am | Sample size considerations for precision medicine | Jesse Clifton North Carolina State University, USA |
| 11:30am - 01:30pm | Lunch Break | |
| 01:30pm - 02:30pm | Developing mHealth interventions to improve mood, activity, and sleep for medical interns | Timothy NeCamp University of Michigan, USA |
| 02:30pm - 03:30pm | Accelerometry data: from micro- to macro-level | Jiawei Bai Johns Hopkins University, USA |
| 03:30pm - 04:00pm | Coffee Break | |
| 04:00pm - 05:00pm | Contextual multi-armed bandit algorithm for semiparametric reward model | Gi-Soo Kim Seoul National University, Korea |
| 08:45am - 09:00am | Registration | |
| 09:00am - 10:00am | From real-world evidence to person-centered healthcare: applications of computational behavior science and interpretable AI/ML for minimally disruptive medicine | Pei-Yun Sabrina Hsueh IBM Research in New York, USA |
| 10:00am - 10:30am | Coffee Break | |
| 10:30am - 11:30am | Constructing personalized decision algorithm for mHealth applications | Min Qian Columbia University in the City of New York, USA |
| 11:30am - 02:00pm | Lunch Reception at DSAP Venue: Block S16, Level 7, Staff Lounge Department of Statistics and Applied Probability, NUS, 6 Science Drive 2, Singapore 117546 | |
| 02:00pm | Venue: Block S16, #06-118, Seminar Room, Department of Statistics and Applied Probability, NUS, 6 Science Drive 2, Singapore 117546 | |
| 02:00pm - 03:00pm | Distinguished Visitor Lecture Series: Real world data, real world evidence, and decision analytics for precision medicine and health | Tze Leung Lai Stanford University, USA |
| 03:00pm - 03:30pm | Coffee Break | |
| 03:30pm - 04:30pm | Reinforced risk prediction with budget constraint | Yingqi Zhao Fred Hutchinson Cancer Research Center, USA |
| 08:45am - 09:00am | Registration | |
| 09:00am - 10:00am | Distinguished Visitor Lecture Series: | Tze Leung Lai Stanford University, USA |
| 10:00am - 10:30am | Coffee Break | |
| 10:30am - 11:30am | Entropy learning for dynamic treatment regimes | Binyan Jiang The Hong Kong Polytechnic University, Hong Kong |
| 11:30am - 01:30pm | Lunch Break | |
| 01:30pm - 02:30pm | Determining optimal treatments based on complex data | R. Todd Ogden Columbia University, USA |
| 02:30pm - 03:30pm | A model-based multi-threshold method for subgroup identification | Jialiang Li National University of Singapore, Singapore |
| 03:30pm - 04:00pm | Coffee Break | |
| 04:00pm - 05:00pm | Addressing issues with GPS and tracking data collection: Correction algorithms for understanding movement (Video) | Borame Sue Lee Dickens National University of Singapore, Singapore |