Maria I. Davila is a research data scientist at RTI whose current projects include Data Stewards for the National Institutes of Health Helping to End Addiction Long-term (HEAL). She leads the data strategy initiative to inform the approach for data management and sharing within the HEAL program. In this role, she provides data management and governance support to the HEAL Distributed Data Ecosystem with disparate data from more than 600 studies spanning pain management and opioid use disorder. The data steward team supports data-driven research collaborations among the broad community of researchers, healthcare providers, community leaders, policymakers, and others who can benefit from learning the results of initiative research. Dr. Davila’s focus is to make HEAL data findable, accessible, interoperable, and reusable by developing guidance, tools, and resources for investigators generating HEAL data.
Dr. Davila is a consultant for the Complex Assessment of Military (CAMP) project, funded by the Department of Defense, Congressionally Directed Medical Research Programs. CAMP is a triad of ecologically valid, performance-based exertional tasks with objective measures to be used for assisting therapists with return-to-duty decisions for service members with concussions. Through this project, she and her colleagues collect heart rate variability parameters using wearable sensors with the purpose of creating a physiological metric that could track health recovery.
Previously, Dr. Davila was a research assistant professor at the University of North Carolina at Chapel Hill, where she developed novel hardware and software to quantify physiological and behavioral processes. In addition, she was a visiting research scholar at Northeastern University and a research assistant at the University of Illinois at Chicago. She has a graduate certification in operations management at the Instituto de Estudios Superiores de Administración (IESA). In addition, she is a Certified LabVIEW Associate Developer recognized by National Instruments. She is fluent in programming languages like SQL, LabView and SPSS statistics.