Decision Analytics Lab

Selected Invited Talks:

• Policy Evaluation Using Large-Scale Observational Data: A Case Study Addressing the Opioid Epidemic Crisis, November 06, 2024, Harvard Data Science Initiative, Harvard University, MA, USA.

• Resilient Strategies to Address Opioid Epidemic Crisis, Center for Opioid Epidemiology Policy, April 12, 2024, New York University, NY, USA.

• Examining the Impact of Patient and Prescriber Characteristics on Buprenorphine Treatment Outcomes for Opioid Use Disorder: A Pathway to Enhance Long-Term Treat- ment Retention, The US Bureau of Justice Assistance’s (BJA) Comprehensive Opioid, Stimulant, and Substance Use Program (COSSUP), August 29-31, 2023, Arlington, Vir- ginia, USA.

• AI/Operations Research to Combat Opioid Addiction Crisis, Society for Health Systems Education Committee Webinar, August 11, 2022, Institute of Industrial and Systems Engineers (IISE).

• Mitigating Opioid Use Disorder via Machine Learning and other Data Analytics, Program in Opioid and Pain Innovation (POPI) Quarterly Meeting, Brigham and Women’s Hospital/Harvard Medical School Teaching Hospital, Boston, USA, May 18, 2022.

• Analytics and Operations Research to Address Opioid Addiction Crisis, Data Analytics in Opioids Use/misuse, INFORMS Annual Meeting, October 24-27, 2021, Anaheim, CA, USA.

• Analytics to Combat Opioid Addiction Crisis, Computational Health Informatics Program (CHIP), Boston Children’s Hospital/Harvard Medical School Teaching Hospital, 22 April, 2021.

• Robust Causal Inference Tests for Large Scale Observational Study, Department of Mechanical & Industrial Engineering, New Jersey Institute of Technology, New Jersey, USA, 16 April, 2019.

• Predicting Risk of Opioid Use Disorder by Leveraging Massachusetts All Payer Claim Data, Health Thought Leadership Network (HTLN), Bently University, Waltham, USA, 22 March, 2019.

• Leveraging Machine Learning Approach to Optimize the Participation of a Wind and Storage Power Plant, IEEE PES Boston Technical Meeting, Waltham, USA, 19 March, 2019.

• Leveraging Machine Learning Approach to Optimize the Participation of a Wind and Storage Power Plant, Schlumberger-Doll Research Center, Cambridge, USA, 28 February, 2019.

• Robust Causal Inference Tests for Large Scale Observational Study, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Phoenix, USA, 16 November, 2018.

• Leveraging Machine Learning Approach to Optimize the Participation of a Wind and Storage Power Plant, Renewable Energy, INFORMS Annual Meeting, November 4-7, 2018, Phoenix, USA.

• Panelist in Academic Faculty Applications, Laboratory of Information and Decision Systems (LIDS), Massachusetts Institute of Technology (MIT), 30 October 2018.