|
9/04
Present |
Doctoral
Student in Computer Science and Neuroscience, Princeton
University, Master of Arts in Computer Science
received September 2006 |
|
5/00
1/03 |
Master
of Science in Computer
Science, Pace University, |
|
8/96
5/99 |
Bachelor
of Arts in Psychology, State
University of New York at Binghamton, |
EXPERIENCE
|
10/04-Present |
Graduate
Researcher, Princeton
University Computer Science Department,
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,
(Manager:
Charles
Peck; ·
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, 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,
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. |
Computer
Science Graduate Committee:
Serve as one of two representatives for CS graduate year; organize academic
and social functions; liaison between students and faculty/administration |
|
2005
2006 |
Graduate
Engineering Council: Served as one
of two representatives for Computer Science graduate student body; liaisoned between students and Engineering school
administration |
|
2004
Pres. |
Graduate
Women in Science and Engineering: Organize
academic and social events; served on organizing committee for Princeton
Women in Science and Engineering conference |
|
2005
Pres. |
Graduate
Engineering Ambassadors (past Secretary, Webmaster): Assist in recruitment
of graduate Engineering students to |
|
2007 |
Northeast
Student Colloquium on Artificial Intelligence (NESCAI) reviewer |
|
2005,
2006 |
|
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).
Carroll, M.K., Dudik, M., Schapire, R.E., Norman, K.A. (2006). Feature
Induction Using Boosting and Logistic Regression on fMRI
Images. Paper accepted for presentation at the NIPS 2006 Workshop on
New Directions on Decoding Mental States from fMRI
Data. Whistler, BC.
Carroll, M.K.,
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), Cary, NC, 923-926. Slides (pps)
Carroll, M.K. (2003). The Performance
of Evolutionary Artificial Neural Networks in Unambiguous and Ambiguous
Learning Situations. Technical Report No. 189, Pace University
Meyers, B.S., Sirey, J.A., Bruce, M.,
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. Slides (pps)
Murphy, C.F., Alexopoulos, G.S., Carroll, M.K., & Kakuma,
T. (2001). Concurrent prediction of
depression and executive dysfunction: A longitudinal analysis. Poster
presented at the meeting of the American Association for Geriatric Psychiatry,
San Francisco, CA. The American Journal of Geriatric Psychiatry, (9:3,Summer
Supplement 1), 83.
Last
modified: 9/9/07