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. Our approaches benefit from integrating Next Generation Sequencing, high-throughput interactomics, and structural biology data. 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. Korkin lab members have enjoyed working together on cutting-edge research projects and participating in collaborations across disciplines.