Cheminformatician, computational chemist, and data scientist with experience in the development and implementation of innovative cheminformatics and molecular modeling approaches; quantitative structure-activity relationships (QSAR) modeling using machine learning algorithms; management, curation, and analysis of complex chemical-biology data; application of predictive models in screening large libraries of virtual compounds for prioritizing hits to be tested experimentally. His areas of interest are rare and neglected diseases, health informatics, development of alternative (computational) methods for ADME/Tox, computer-aided drug design, drug repurposing, data science, and cheminformatics. He is currently a Postdoctoral Research Associate at the University of North Carolina at Chapel Hill.