Nicoleta Serban is an assistant professor in ISyE. She received her B.S. in Mathematics and an M.S. in Theoretical Statistics and Stochastic Processes from the University of Bucharest. She went on to earn her Ph.D. in Statistics at Carnegie Mellon University. Before joining Georgia Tech, Dr. Serban's research focused on nonparametric statistical methods motivated by recent applications from proteomics and genomics. Dr. Serban's current research focuses on multiple functional estimation and clustering with applications to industrial performance, service site location, socio-economics and NMR biomolecular studies.

Serban, N. (2009) “Clustering Confidence Sets," Journal of Statistical Planning and Inference, 139, 109 -124.

Serban, N. (2008) "Clustering in the Presence of Heteroscedastic Errors," Journal of Nonparametric Statistics, 20-7.

Serban, N. (2007) “MICE: Multiple-peak Identification, Characterization and
Estimation," Biometrics, 63, 531-539.