M.S., Univ. of Connecticut (2005)
B.S.E., Univ. of Connecticut (2003)
Ph.D., Univ. of Connecticut (2011)
Saira A. Kazmi received the Ph.D. degree in Computer Science and Engineering from The University of Connecticut, Storrs, Connecticut, in 2011 with a focus in Bioinformatics and Statistics.
She is currently a post-doctoral Fellow at Yale Center for Medical Informatics in New Haven, Connecticut. She is fascinated by the fact that observing data from naturally occurring phenomenon can lend insights into the complex details of the underlying systems. Her interest is in finding ways to store, retrieve, transform and visualize data in order to generate context specific predictions and hypotheses.
She enjoys teaching courses in data mining, computational biology, and artificial intelligence. Her teaching focuses on developing problem solving and critical thinking skills along with hands on project and programming work. She believes in team based paradigm in classrooms to develop communication, time and task management skills that are necessary in any collaborative environment that the computer scientists of today are increasingly involved in.