MELISSA K. CARROLL
http://www.princeton.edu/~mkc
EDUCATION
9/04 – Pres.	Doctoral Student in Computer Science and Neuroscience, Princeton University, Princeton, NJ
Master of Arts in Computer Science received September 2006
5/00 – 1/03	Master of Science in Computer Science, Pace University, White Plains, NY
8/96 – 5/99	Bachelor of Arts in Psychology, State University of New York at Binghamton, Binghamton, NY
EXPERIENCE
10/04 – Pres.
	Graduate Researcher, Princeton University Computer Science Department, Princeton, NJ
(Advisor: Robert Schapire; Collaborators: Kenneth Norman, Fei-Fei Li)
•	Pursue independent and collaborative research into machine learning and computer vision techniques for scientific discovery from Functional Magnetic Resonance Imaging (fMRI) data
•	Perform theoretical and experimental analyses into classification of high-dimensional datasets
•	Develop techniques for hybrid discriminative-generative approaches for object recognition
6/07 – 9/07	Research Intern, IBM T.J. Watson Research Center, Yorktown Heights, NY
(Manager: Charles Peck; Mentor: Guillermo Cecchi)
•	Evaluated L1-, L2-, and hybrid-regularized (Elastic Net) regression for prediction of brain function from fMRI data with regard to prediction accuracy, interpretation, and robustness
•	Developed parallel AdaBoost software for the IBM Blue Gene/L supercomputer
9/05 – 5/06	Assistant in Instruction, Princeton University
Fall 2005: COS 402 Artificial Intelligence (Instructor: Robert Schapire)
•	Held office hours and responded to student queries; established and applied grading criteria for written and programming assignments; implemented testing scripts to facilitate grading; presented make-up lectures and review sessions; assisted in course planning
Spring 2006: COS 126 General Computer Science (Instructors: Douglas Clark, Kevin Wayne)
•	Taught twice-weekly precept to 30 students; held office hours and responded to student queries; applied grading criteria for assignments
7/99 – 8/04	Research Data Manager/Analyst, Weill-Cornell Institute of Geriatric Psychiatry,
Weill Medical College of Cornell University, White Plains, NY
•	Worked as a full-time team member for a large research center on over 20 studies
•	Database design and administration: designed, developed, and maintained several relational research databases; manipulated data using SQL, VBA, and SAS
•	Statistical analysis and research dissemination: generated analysis strategies with study investigators and statisticians; implemented procedures for inferential statistics, regression, and several other models in SAS and SPSS; prepared findings for presentation and publication
•	Leadership: served as lead data manager for 5 major studies; recruited, trained, and supervised 9 data entry/quality control clerks and 3 junior data manager/analysts
8/01 – 9/03	Graduate Researcher, Pace University Computer Science Department, White Plains, NY
(Advisor:s Michael L. Gargano, Sung-Hyuk Cha)
•	Compared performance of self-implemented kNN, Naοve Bayes, ANN, and Decision Tree algorithms as base models and stacked generalizers for protein function prediction
•	Evaluated the performance of self-implemented Evolutionary Artificial Neural Network algorithms on learning an ambiguous task, derived from a neuropsychological test
HONORS AND AWARDS
2006-2007	Fellowship, Princeton Program in Integrative Information, Computer and Application Sciences
2005	National Science Foundation Graduate Fellowship Honorable Mention
2004 – 2005	Graduate Fellowship, Princeton University
2003	Computer Science Distinguished Achievement Award for Academic Excellence, Pace University
ORGANIZATIONS AND COMMITTEES
2004 – Pres.	Princeton Computer Science Graduate Committee
2004 – Pres.	Princeton Graduate Women in Science and Engineering
2005 – Pres.	Princeton Graduate Engineering Ambassadors (past Secretary, Webmaster)
2007	Northeast Student Colloquium on Artificial Intelligence (NESCAI) reviewer
2005 – 2006	Princeton Graduate Engineering Council
2006	Princeton Women in Science and Engineering conference organizing committee
2005, 2006	Mentor, Princeton Summer Programming Experience
COMPUTER SKILLS
Matlab, MPI, Java, SQL, VBA, SAS BASE/STAT/Macro/Enterprise Miner, SPSS, Perl/CGI/DBI, HTML
SELECTED PRESENTATIONS AND PUBLICATIONS
•	Carroll, M.K., Dudik, M. (2007). Feature Induction on fMRI Images Using Regularized Logistic Regression. Poster presented at the 13th Annual Meeting of the Organization for Human Brain Mapping (OHBM). Chicago, IL.
•	Carroll, M.K., Dudik, M., Schapire, R.E., Norman, K.A. (2006). Feature Induction Using Boosting and Logistic Regression on fMRI Images. Paper presented at the NIPS 2006 Workshop on New Directions on Decoding Mental States from fMRI Data. Whistler, BC.
•	Carroll, M.K., Norman, K.A., Haxby, J.V., Schapire, R.E. (2006). Exploiting Spatial Information to Improve fMRI Pattern Classification. Poster presented at the 12th Annual Meeting of the Organization for Human Brain Mapping (OHBM). Florence, Italy.
•	Carroll, M.K., Cha, S. (2003). Application of Stacked Generalization to a Protein Localization Prediction Task. Proceedings, Atlantic Symposium on Computational Biology and Genome Informatics, 7th Joint Conference on Information Sciences (JCIS 2003) (923-926), Cary, NC.
•	Carroll, M.K. (2003). The Performance of Evolutionary Artificial Neural Networks in Unambiguous and Ambiguous Learning Situations. Technical Report No. 189, Pace University School of Computer Science and Information Systems; Masters Thesis, Pace University.
•	Meyers, B.S., Sirey, J.A., Bruce, M., Hamilton, M., Raue, P., Friedman, S.J., Rickey, C., Kakuma, T., Carroll, M.K., Kiosses, D., & Alexopoulos, G. (2002). Predictors of Early Recovery from Major Depression Among Persons Admitted to Community-Based Clinics: An Observational Study.  Archives of General Psychiatry, 59(8):729-35.
•	Carroll, M.K., Murphy, C.F., Kiosses, D.N., & Alexopoulos, G.S. (2001). The Modified Card Sorting Test as a Measure of Executive Dysfunction in Geriatric Depression. Poster presented at the 2nd Annual Aging Symposium, Cornell Center for Aging Research and Clinical Care, New York, NY.