Maulik Kamdar is a Senior Data Scientist at Elsevier Health and Commercial Markets. In his current role, Maulik has been working on the research and development on Elsevier’s Healthcare Knowledge Graph, on applications that can be powered through such a medical knowledge platform, and has also led the Elsevier-Stanford collaboration to develop and improve upon the usability of the WebProtégé collaborative ontology editing platform for editing large-scale knowledge graphs by subject matter experts. His research interests are biomedical informatics, Semantic Web technologies, information retrieval, data visualization, interpretable machine learning, and operationalized data science. Maulik completed his Ph.D. research in Biomedical Informatics at Stanford University on developing methods to retrieve, integrate, and analyze data and knowledge from multiple, heterogeneous biomedical sources for discovering novel associations in pharmacovigilance. For this research, Maulik has won the American Medical Informatics Association 2020 Dissertation Award and best paper awards at multiple conferences. Maulik has widely collaborated with researchers from several institutes on interdisciplinary projects, has published more than 30 papers in several venues, and has also been instrumental in the development of popular Web applications, such as the first prototypes of Data.Gov.IE and the Reactome.Org Pathway Browser through his previous roles at National University of Ireland Galway and the Reactome Consortium under the 2011-12 Google Summer of Code Program respectively. In his free time, Maulik loves to explore national parks and finish long runs across new cities and running trails.