Ajit Londhe, MPH
Manager, Epidemiology Analytics
Janssen Research and Development
Ajit Londhe is a Manager of Epidemiology Analytics at Janssen Research and Development, a Johnson & Johnson company. His projects typically deal with comparative effectiveness and clinical characterization studies. Ajit leads the Metadata and Annotations Working Group, and has contributed to the development of the Achilles and CdmAtlasCutover R packages. He also has been leading efforts to convert multiple Optum claims data sets into the OMOP Common Data Model, gaining efficiencies in the CDM build process, and improving data set characterization. Ajit received his Bachelor of Science in Computer Science and Engineering from Pennsylvania State University and his Master’s in Public Health (Epidemiology) from Emory University’s Rollins School of Public Health. He previously worked in various roles in Johnson & Johnson’s IT department prior to joining the Epidemiology department.
Voss EA, Makadia R, Matcho A, Ma Q, Knoll C, Schuemie M, DeFalco FJ, Londhe A, Zhu V, Ryan PB. Feasibility and utility of applications of the common data model to multiple, disparate observational health databases.J Am Med Inform Assoc. 2015 Feb 10. pii: ocu023. doi: 10.1093/jamia/ocu023. [Epub ahead of print]