He is the Co-PI for the HEAL Data Platform, a Gen3 data mesh providing access to data from studies funded by NIH's Helping to End Addiction Long-term (HEAL) Initiative. He also co-leads the Data and Analytics Support Core (DASC) within NIDA's Justice Community Opioid Innovation Network's (JCOIN) Methodology and Advanced Analytics Resource Center (MAARC), for which he has built a Gen3 data commons. He has built data commons and analytic platforms for several other NIH-funded research consortia and groups, including a platform at the University of Chicago for secure management and analysis of Medicare and Medicaid data from CMS. He is a co-investigator and principal biostatistician for the NIA-funded National Social Life, Health and Aging Project (NSHAP). His current methodological work focuses on the measurement and modeling of social networks, cognitive and sensory function, and physical activity, all of which are critical to understanding differences in health trajectories at older ages.