"The important thing is not to stop questioning."
-Albert Einstein

My current research is a cross between functional data analysis and image analysis. I work to develop methodology to analyze magnetic resonance images of patients with multiple sclerosis. Check out some of the work we do on the Pennsive webpage!

(In Progress)Gina-Maria Pomann, Elizabeth Sweeney, Daniel Reich, Ana-Maria Staicu, Russell Taki Shinohara, Scan Stratified Case-Control Sampling for Modeling Blood-Brain Barrier Integrity in Multiple Sclerosis.


(Submitted) Gina-Maria Pomann, Ana-Maria Staicu, Sujit Ghosh. Two Sample Testing for Functional Data.


Gina-Maria Pomann, Tamraparni Dasu, Shankar Krishnan. Evaluating Change Detection in Data Streams. International Workshop on Statistical Modeling, 2011, 486-489.


(Alphabetical Order)Tamraparni Dasu, Shankar Krishnan, Gina-Maria Pomann. Robustness of Change Detection Algorithms, Lecture Notes in Computer Science, 2011, Volume 7014/2011, 125-137.
IDA Publication


Patrick Cesarz, Gina-Maria Pomann, Luis de la Torre, Greta Villarosa, Ali Pinar and Juan Meza. Detecting Network Vulnerabilities Through Discrete Graph Theoretical Methods. Technical Report LBNL-63487, October, 2007.