Dr. Kann's research focuses on computational approaches to annotate the human genome with the goal of revealing the molecular underpinning of human diseases. One of the crucial steps after sequencing the genome is to classify and assign function to gene-encoded proteins. Dr. Kann's work addresses these challenges studying new computational methodologies to align, classify and predict interactions of proteins as well as to identify the role of certain mutations in the disease mechanisms.