He worked as a Visiting Researcher at the Data Analysis and Biomedical Analytics (DABI) Center at Temple University (2014-2015). His research interests encompass design and development of predictive algorithms and their application in health care predictive modeling. Specific areas of his technical interest include sparse predictive models, fusion of domain knowledge and data-driven methods , parameter and feature selection, predictive analytics on heterogeneous data sources and meta-learning. His work was published in multiple conferences, journals and book chapters. Milan also had several invited talks on bioinformatics and healthcare predictive analytics topics.