• (Dec 2020) Batch Policy Learning in Average Reward Markov Decision Process. Invited oral presentation. Workshop on Reinforcement Learning from Batch Data and Simulation at Simons Institute for the Theory of Computing.

• (Nov 2020) Batch Policy Learning in Average Reward Markov Decision Process. Invited oral presentation. INFORMS Annual Meeting 2020.

• (Oct 2020) O-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health. Invited oral presentation. Online Seminar on Mathematical Foundations of Data Science.

• (Sept 2020) Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity. Invited oral presentation. UbiComp / ISWC 2020.

• (Aug 2020) Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health. Pre-recorded talk. Bernoulli-IMS One World Symposium 2020.

• (Aug 2020) Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health. Invited oral presentation. Joint Statistical Meetings (JSM) 2020.

• (Feb 2020) Personalized HeartSteps: A RL Algorithm for Optimizing Physical Activity. Invited oral presentation. Adaptive Experimentation Workshop, Facebook, New York.

• (Oct 2019) Micro-randomized trials. Oral presentation. 9th Kolokotrones Symposium on Data Science, Harvard T.H. Chan School of Public Health

• (Oct 2019) Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity. Invited oral presentation. INFORMS Annual Meeting 2019, Seattle, WA.

• (July 2019) Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity. Joint Statistical Meetings (JSM) 2019

• (June 2019) Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity. Poster presentation. Reinforcement Learning for Real Life ICML 2019 Workshop

• (Oct 2018) Real time Personalization of Mobile Interventions. Poster presentation. Mobile Sensor Data-To- Knowledge (MD2K) Annual Meeting 2018, University of Memphis, Memphis, TN.

• (Oct 2017) Just-in-Time but Not Too Much: Determining Treatment Timing in Mobile Health. Poster presentation. Mobile Sensor Data-To- Knowledge (MD2K) Annual Meeting 2017, University of Memphis, Memphis, TN.

• (Dec 2016) Micro-Randomized Trials in mHealth. Collaborative Conference on Mobile Health (CCMH2016), Hong Kong, China.

• (Nov 2016) Designing the Randomization Probabilities for Stratified Micro-Randomized Trials. Poster Presentation. 2016 MIDAS Symposium, Big Data: Advancing Science, Changing the World, University of Michigan, Ann Arbor, MI.

• (Oct 2016) Designing the Randomization Probabilities for Stratified Micro-Randomized Trials. Poster presentation. Mobile Sensor Data-To- Knowledge (MD2K) Annual Meeting 2016, University of Memphis, Memphis, TN.

• (Aug 2016) Sample size calculations for Micro-randomized trials in mHealth. Invited e-poster presentation. 2016 Joint Statistical Meetings, Chicago, IL.

• (March 2016) Comparing Mobile Health Treatment Policy. Contributed oral presentation. ENAR Spring Meeting 2016, Austin, TX.

• (Oct 2015) A Batch Off-Policy Actor-Critic Algorithm for Constructing OptimalPolicy. Poster presentation. From Industrial Statistics to Data Science, University of Michigan, Ann Arbor, MI.

• (Sept 2015) Micro-randomized Trials and mHealth. Oral presentation. Brown Bag Seminar at The Methodology Center, Pennsylvania State University, University Park, PA.

• (Sept 2015) A Batch Off-policy Actor-critic Algorithm for Constructing Just-in-TimeAdaptive Interventions in mHealth. Poster presentation. Mobile Sensor Data-To- Knowledge (MD2K) Annual Meeting 2015, University of Memphis, Memphis, TN.

• (March 2015) Micro-randomized Trials in mHealth. Poster presentation. Michigan Student Symposium for Interdisciplinary Statistical Sciences 2015 (MSSISS), University of Michigan, Ann Arbor, MI.