About
Dr. Kann received a B. Sc. and graduate degree in Chemistry from the Universidad de la Republica in Montevideo (Uruguay),and a doctoral degree from the University of Michigan, Ann Arbor.She is one of the leading experts in the area of translational Bioinformatics and has chaired several international conferencesessions.
Research interests
Dr. Kann's research focuses on computationalapproaches 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.
Teaching interests
Dr. Kann's main focus is in teaching students the basic and more advanced aspects of bioinformatics. She had taught BINF 313, intro bioinformatics and BINF495, Bioinformatics seminar since 2007. She has also taught a new graduate seminar based on the book she edited, Translational Bioinformatics, a collection in PLOS Computational Biology.Education
- Other — National Center for Biotechnology Information (NIH) (2007)
- Ph D, Thesis Title: “Protein Sequence Alignment: Theory, Algorithms and Optimal Score function”. Advisor Prof. Richard A. Goldstein. (GPA:7.9/8.0) — University of Michigan (2001)
- MS, Pharmaceutical Chemistry degree — Universidad de la República. Montevideo (1994)
- BS, Chemistry — Universidad de la República (1991)