Vikas Rao Pejaver is a Moore-Sloan and Washington Research Foundation post-doctoral fellow in the Mooney lab and the eScience Institute. He is interested in the development and application of machine learning methods for translational research, with a particular emphasis on the integration of heterogeneous data from disparate sources, such as genomic, proteomic and health data sets. The use of computational methods in the health and life sciences first excited Vikas at the People’s Education Society Institute of Technology, where he received his B.E. in Biotechnology in 2008. This motivated him to pursue an M.S. in Bioinformatics at Indiana University, Bloomington, where he worked on comparative genomics problems in bacterial genomes. Upon completion in 2010, he stayed on at Indiana to pursue doctoral studies in Dr. Predrag Radivojac’s research group. In 2016, he received a Ph.D. in Informatics with a dissertation that focused on the sequence-based prediction of over 50 different types of structurally and functionally important sites in proteins, and their integration into the prediction of disease-associated missense variants. In the Mooney lab, he continues to think about machine learning in human health and disease, but with a greater focus on electronic health records.