My research is interdisciplinary and spans the fields of bioinformatics of complex disease, computational genomics, systems biology, and biomedical data analytics. We bring expertise in machine learning, data mining and massive data analytics to study molecular mechanisms underlying genetic disorders, such as cancer, diabetes, and autism, and deadly infections, such as pandemic flu. We also develop hardware-optimized algorithms to understand the evolution of animal and plant genomes on the large scale. Finally, we collaborate with experimental scientists to test biological hypothesis generated by computational predictions. I joined WPI from the University of Missouri where I was an Associate Professor. Graduate and undergraduate students in the lab have enjoyed working together on cutting-edge research projects and participating in collaborations across disciplines. In my spare time I enjoy skiing, biking, photography, and practicing Jujitsu.