Specialties: Artificial Intelligence, Machine learning (Kernel Methods, Probabilistic Graphical Models, Sequence analytics, text analytics, graph analytics, non-parametric methods, deep learning, neural networks, longitudinal data analysis), Causal Inference, Data Mining, Big Data Analytics, Knowledge Representation, Bioinformatics, Discovery Informatics, Data Sciences, Health Informatics, Neuroinformatics, Immunoinformatics, Social Media Analytics. Graduate and undergraduate programs; Academic and research program leadership; Technology Transfer; Strategic Planning.Experience: Led NSF Big Data Program (2011-13), Conceived and led research projects funded by NSF, NIH, and USDA resulting in foundational research contributions (documented in over 250 peer-reviewed publications) on a broad range of topics e.g., Machine learning algorithms for constructing predictive models from predictive models from large, distributed, semantically disparate, richly structured data (big data); Causal inference; Preferen