Bio

Laura Balzano is an assistant professor in Electrical Engineering and Computer Science at the University of Michigan. She is an Intel Early Career Faculty Fellow, a 3M Non-tenured Faculty Awardee, and an Army Research Office Young Investigator. Her main research focus is on modeling with big, messy data — highly incomplete or corrupted data, uncalibrated data, and highly heterogeneous data — and its applications in networks, environmental monitoring, and computer vision. Her expertise is in statistical signal processing, matrix factorization, and optimization.

Laura received a BS from Rice University in Electrical and Computer Engineering, MS from the University of California in Los Angeles in Electrical Engineering, and PhD from the University of Wisconsin in Electrical and Computer Engineering. She received the Outstanding MS Degree of the year award from the UCLA EE Department, and the Best Dissertation award from the University of Wisconsin ECE Department. Her PhD was supported by a 3M fellowship. Before graduate school she worked as a software engineer at Applied Signal Technology, Inc.

Would you like to read Laura’s blog? In it, she discusses science and the cultural role of scientists, gender issues, and a smidgen of politics. Also there are a lot of funny links. Seriously, check out the dinosaur programmers.