Donald Geman
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Donald Geman

Professor

Applied Mathematics and Statistics

Telephone

(410) 516-7678

Email

geman@cis.jhu.edu

World Wide Web

Awards

  • Winner, 2008 ICMLA Microarray Classification Competition, for the algorithm: Donald Geman, Bahman Afsari, Aik Choon Tan, Daniel Naiman, "Microarray classification from several two-gene expression comparisons."

Courses

  • Fall 2008
    550:437 Statistical Learning with Applications
    Expanded the range of applications to include statistical language models, molecular cancer diagnosis and gene network inference.
    Graduate Students: 16
  • Fall 2008
    550:635 Topics in Bioinformatics
    Graduate Students: 6
  • Fall 2006
    550.311 Introductory Statistics for the Medical and Biological Sciences
    Undergraduate Students: 34
  • Fall 2006
    550.635 Topics in Bioinformatics
    Readings in computational molecular biology
    Graduate Students: 11
  • Fall 2004
    550.311 Probability and Statistics for the Biological Sciences and Engineering
    Undergraduate Students: 27
  • Fall 2004
    550.635 Topics in Bioinformatics
    Newly developed course
    Undergraduate Students: 1
    Graduate Students: 13
  • Fall 2003
    550:437 Information, Statistics and Perception
    This is an updated version of the course I taught in 2001, substantially broadening the scope of applications to inlcude sections on neural decoding and functional genomics.
    Graduate Students: 10
  • Fall 2002
    550:311 Introductory Statistics for the Medical and Biological Sciences
    Modifcation of 550:311 to illustrate material with examples from biomedical engineering
    Undergraduate Students: 30
  • Fall 2001
    550:437 Statistics, Information and Vision
    Undergraduate Students: 1
    Graduate Students: 21

Education

  • Ph.D Mathematics, Northwestern University, 1966 - 1970

External Interactions

  • Visiting Position, January - March 2004: Centre de Mathematiques et Leurs Applications, ENS-Cachan, France Teaching at Other Institutions
  • Ph.D. Advisor for Hichem Sahbi, "Support vector machines for hierarchical face detection. Universite de Versailles, France, March 2004 Teaching at Other Institutions
  • Visiting Professor, "Centre de Mathematiques et Leurs Applications," Ecole Normale Superieure, France. International Collaborations

Experience

  • Professor, Department of Mathematics and Statistics, University of Massachusetts. 1970 - 2001

Grants and Contracts

  • Vision Strategies and ATR Performance, Army Research Office $455K Status: Awarded/Active Awarded to University of Massachusetts September 20, 1996 - March 19, 2002
  • Coarse-to-Fine Object Detection, Office of Naval Research $240,025 Status: Awarded/Active October 15, 2001 - September 30, 2004
  • Invariant Detection and Interpretation of Specific Objects in Image Data, National Science Foundation $300,000 Status: Awarded/Active October 01, 2002 - September 30, 2005
  • Coarse-to-Fine Computational Vision, Army Research Office $182,748 Status: Awarded/Active September 01, 2002 - August 31, 2005
  • Creative Extension Award, National Science Foundation $143,604 Status: Awarded/Active Funded uner the NSF ITR program October 01, 2002 - September 30, 2003
  • Triage and the Automated Annotation of Large Image Data Sets, NSF $690,925 Status: Awarded/Active ITR September 01, 2004 - August 31, 2009
  • Cardiac Vascular Research Grid (Aim 5), NIH $679,196 Status: Pending September 15, 2005 - September 14, 2008
  • Centers of Research Translation (CORT), NIH $1,387,092 Status: Pending July 01, 2006 - June 30, 2011
  • Progress in Hierarchical Object Recognition, ARO $469,000 Status: Pending May 01, 2006 - April 30, 2009
  • Coarse-to-Fine Anomaly Detection in Random Graphs, Naval Surface Warfare Center $421,205 Status: Pending June 01, 2007 - May 31, 2010
  • Small-Sample Network Inference in Computational Vision and Biology, NSF $479,999 Status: Awarded/Active September 15, 2006 - September 14, 2009
  • CVRG (Cardiovascular Research Grid), NIH $961,276 Status: Awarded/Active Director, Project 5 February 01, 2007 - January 31, 2011
  • Reproducbible Models for the Statistical Analysis of Biological Systems , NSF $1,595,605 Status: Pending June 01, 2009 - May 31, 2011
  • Small-Sample Issues in Hierarchical Scene Analysis, ONR $299,610 Status: Awarded/Active May 23, 2007 - December 31, 2009
  • Multi-Scale Disease Biomarker Discovery, Johns Hopkins School of Medicine $750,000 Status: Awarded/Active Institutional funds related to the CTSA June 01, 2008 - May 31, 2011

Presentations

  • D. Geman: Stationary Features and Cat Detection NIPS 2007. Whistler, BC. December 08, 2007. (Invited)
  • D. Geman: Interactive Search for Image Categories by Mental Matching SIAM Meeting. Baltimore, MD. November 14, 2007. Featured Event (Invited)
  • D. Geman: Image Interpretation: A Critical Overview Distinguished Lecture Series. University of California - San Diego. March 16, 2007. (Invited)
  • D. Geman: Image Interpretation ONR Workshop. Alexandria, VA. March 02, 2007. (Invited)
  • D. Geman: Interactive Image Retrieval by Mental Matching Multimedia Image Retrieval (MIR06). Santa Barbara, CA. October 26, 2006. Keynote Address (Invited)
  • D. Geman: In Search of a Unifying Theory for Image Interpretation Annual Meeting, Norwegian Soceity for Image Processing . Oslo, Norway. September 07, 2006. Keynote Address (Invited)
  • D. Geman: In Search of a Unifying Theory for Image Interpretation Annual International Symposium on Information Theory. Seattle, WA. July 14, 2006. Plenary Address (Invited)
  • D. Geman: Coarse-to-fine Hierarchies Visual Learning and Recognition Workshop. IMA, Minneapolis, MN. May 23, 2006. Workshop Organizer (Invited)
  • D. Geman: Small-sample Learning in Computational Biology and Vision Snowbird Learning Conference. Snowbird, Utah. April 05, 2006. (Invited)
  • D. Geman: Efficiency-driven Computational Vision Stochastic Systems Conference. Notre Dame University. March 25, 2006. (Invited)
  • D. Geman: Efficiency-driven Computational Vision SCI Distinguished Lecture Series. University of Utah. March 17, 2006. (Invited)
  • D. Geman: A Statistical Framework for Coarse-to-Fine Classification Caltech. December 13, 2005. (Invited)
  • D. Geman: Course-to-Fine Classification and Scene Analysis Los Alamos National Laboratory. November 10, 2005. (Invited)
  • D. Geman: Coarse-to-Fine Classification and Scene Interpretation New York University, Department of Computer Science. November 04, 2005. (Invited)
  • D. Geman: Interactive Mental Picture Retrieval University of Maryland Baltimore County. October 21, 2005. (Invited)
  • D. Geman: Image Retrieval from a Mental Picture AMS Seminar. JHU. September 23, 2005. (Invited)
  • D. Geman: Audio- and Video-Based Biometric Person Authentication AVBPA 2005. Rye, New York. July 21, 2005. (Invited)
  • D. Geman: Statistical Analysis of Postgenomic Data Institut National Agronomique. Paris, France. April 21, 2005. (Invited)
  • D. Geman: Workship on Pattern Classification , Learning and Object Recognition MSRI. Berkeley, CA. March 21, 2005. (Invited)
  • D. Geman: Introductory Workshop: Mathematical, Computational and Statistical Aspects of Image Analysis MSRI. Berkeley, California. January 24, 2005. (Invited)
  • D. Geman: Workshop on Object Recognition Taromina, Sicily. October, 2004. (Invited)
  • D. Geman: BME Freshman Lecture JHU. September 23, 2004. (Invited)
  • D. Geman: Advanced Concepts for Intelligent Vision Systems ACIVS04. Brussels, Belgium. August 31, 2004. Plenary Speaker (Invited)
  • D. Geman: Bodian Lecture JHU Mind Brain Institute. May 03, 2004. (Invited)
  • D. Geman: Presentation JHUSPH. April 28, 2004. (Invited)
  • D. Geman: Presentation on the Center for Imaging Science BME Advisory Council Meeting. JHU SOM. April 27, 2004. Gave presentation in place of Director (Invited)
  • D. Geman: Rank-Based Classification of Gene Expression Profiles AMS Seminar. JHU. April 22, 2004. (Invited)
  • D. Geman: Whitaker Site Visit March 18, 2004. (Invited)
  • D. Geman: Perception in Artificial and Natural Systems Meeting of the Mathematical Association of America. Baltimore, MD. November 07, 2003. (Invited)
  • D. Geman: Hierarchical Designs for Pattern Recognition Copmutational Sciences Lecture Series: Computational Vision and Image Analysis. University of Wisconsin, Madison, WI. October 30, 2003. (Invited)
  • D. Geman: Hierarchical Testing Designs for Pattern Recognition Mathematics Day, Institute of Mathematics. Academia Sinica, Taipei, Taiwan. September 03, 2003. (Invited)
  • D. Geman: Hierarchical Designs for Pattern Recognition DIMACS Workship on Complexity and Inference. Rutgers University, NJ. June 03, 2003. (Invited)
  • D. Geman: Hierarchical Testing Designs for Pattern Recognition ETH. Zurich, Switzerland. May 23, 2003. (Invited)
  • D. Geman: Computational Modeling EURANDOM Workshop: "Statistical Learning in Classificaiton and Model Selection". Eindhoven, Netherlands. January 18, 2003. (Invited)
  • D. Geman: Hierarchical Designs for Object Identification SIAM Minisymposium, Joint Mathematics Meetings. Baltimore, MD. January 16, 2003. (Invited)
  • D. Geman: Sequential Testing Strategies for Object Identification Statistics Colloquium. University of Michigan. November 15, 2002. (Invited)
  • D. Geman: Computational Modeling Applied Mathematics Colloquium. Cornell University. October 17, 2002. (Invited)
  • D. Geman: Computational Modeling A. Rosenfeld Distinguished Lecture Series. University of Maryland. October 16, 2002. (Invited)
  • D. Geman: Statistical Methods and Learning in Computer Vision SIAM 2002 Annual Meeting. Philadelphia, PA. July 09, 2002. Invited Minitutorial (Invited)
  • D. Geman: When is Coarse-to-Fine Search Optimal? International Workshop on Energy Minimization Methods in Computer Vision. Sophia Antipolis, France. September, 2001. Plenary Talk (Invited)
  • D. Geman:  Interrogation Bayesienne d'une Base de Donnees 33rd Journees de Statistique. Nantes, France. May, 2001. Keynote address: French Statistical Society (Invited)
  • D. Geman: Coarse-to-Fine Classification and Visual Recognition Mathematical Sciences Research Institute Workshop. Berkeley, CA. March, 2001. (Invited)

Professional Activities

  • Reviewer for Inter. J. Comp. Vision
  • Scientific Committee of Various Conferences
  • Ph.D. Committee, Vivian Yuan, Department of Applied Mathematics and Statistics
  • WSE Curriculum Committee
  • WSE Dean's Search Committee
  • GBO Committee: Christian D'Avignon, BME
  • GBO Committee, Kerry Zesker, Astrophysics
  • Member, Visiting Committee to evaluate the Institute of Mathematics, Academia Sinica, Taipei, Taiwan, September 1-2, 2003
  • Editor, Exponent, Fall 2003
  • Editorial Board, Journal of Machine Learning Research
  • Editorial Board, Applications of Mathematics, Series, Springer-Verlag
  • Organizing Committee for IMA Concentration Year on Imaging, 2005-2006
  • Member, Organizing Committee for MSRI Concentration Semester in Imaging, 2005
  • Member, Department Curriculum Committee
  • Member, Site Visit Team, NSF SLC Proposal for NE Consortium
  • GBO Committee, Xiaodong Fan, May 5, 2004
  • GBO Committee, Iman El-Shehaby, July 7, 2004
  • GBO Committee, Charles Wright, December 10, 2004
  • Reviewer for IEEE Transs PAMI
  • Reviewer for J. Machine Learnjing Research
  • Reviewer for Pattern Recognition
  • Organizer, CIS Seminar Series 2003-2004
  • Introductory Exam Committee, AMS
  • Academic Affairs Committee, AMS
  • GBO Exam, Wen Wu, AMS
  • GBO Exam, Yan Qi, BME
  • ICM Hiring Committee
  • Editorial Board, SIAM Journal Imaging Science
  • Chair, SIAM Activity Group, Imaging Science
  • Miscellaneous GBO Committees, ECE,BME,AMS
  • Developed a new BME/AMS course, "Mathematical Methods in Computational Medicine", introducing mathematical topics arising in proteomics, cardiac modeling, cancer diagnosis and computational anatomy.
  • Proposal Reviewer, ARO, NSF

Research Interests

  • Computer Vision
  • Statistical Learning
  • Computational Biology
  • Neural and stochastic modeling

Publications: All Publications

  1. d'Avignon, C. and Geman, D.. "Tree-Structured Neural Decoding".
  2. Fleuret, F., D. Geman. "Coarse-to-Fine Face Detection". International Journal of Computer Vision 41 (2001):85-107
  3. Geman, D., B. Jedynak. "Model-Based Classification Trees". IEEE Trans. Information Theory 47 (2001):1075-1082
  4. Geman, D.. "Interrogation Bayesienne d'une Base de Donnees". Proceedings 33'rd Journees de Statistique (2001):15-20
  5. Fleuret, F., D. Geman. "Fast Face Detection with Precise Pose Estimation". Proc. ICPR2002. IEEE Computer Society 1 (2002):235-238
  6. H. Sahbi, D. Geman and N. Boujemaa. "Coarse-to-Fine support vector networks". Proc. ICIP-02 3 (2002):925-928
  7. Krempp, S., Geman, D. and Amit, Y.. "Sequential Learning with Reusable Parts for Object Detection". (2002)
  8. D'Avignon, C, Geman, D.. "Tree-structured neural decoding". Journal of Machine Learning Research 4 (2003):743-754
  9. Geman, D. "Coarse-to-fine classification and scene labeling." Nonlinear estimation and Classification: Lecture Notes in statistics. Springer Verlag, 2003. 31-48. ((pdf))
  10. Geman, D., d'Avignon, C., Naiman, D., Winslow, R., Zeboulon, A.. "Gene expression comparisons for class prediction in cancer studies". Proceedings 36th Symposium on the Interface: Computing Science and Statistics (2004) ((pdf))
  11. Gangaputra, S., Geman, D.. "Self-normalized linear tests". Proceedings CVPR 2004 2 (2004):616-622 ((pdf))
  12. Fang, Y., Geman, D.. "Experiments in mental face retrieval". Technical Report, Project IMEDIA. INRIA (2004) ((pdf))
  13. Amit, Y, Geman D., Fan, X.. "A coarse-to-fine strategy for milti-class shape detection". IEEE Trans. PAMI 28 (2004):1606-1621
  14. Geman, D., d'Avignon, C., Naiman, D., Winslow, R.. "Classifying gene expression profiles from pairwise mRNA comparisons". Statist Appl in Genetics and MOlecular Biology 3 (2004) ((http://www.bepress.com/sagmb/vol3/iss1/art19/))
  15. Fan, X., Geman, D.. "Hierarchical object indexing and sequential learning". Proceedings ICPR 2004 3 (2004):65-68 ((pdf))
  16. Blanchard, G., Geman D.. "Sequential testing designs for pattern recognition". Annals of Statistics (2005) ((pdf))
  17. Xu, L., Tan, A-C., Naiman, D., Geman, D., Winslow, R.. "Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data". Bioinformatics 21 (2005):3905-3911
  18. Tan, A-C., Naiman, D., Xu, L., Winslow, R., Geman D.. "Simple decision rules for classifying human cancers from gene expression profiles". Bioinformatics 21 (2005):3896-3904
  19. Fang, Y., Geman, D.. "Experiments in mental face retrieval". Proceedings AVBPA 2005, Lecture notes in Computer Science (2005):637-646 (Best Student Paper Award)
  20. Gangaputra, S., Geman, D.. "A unified stochastic model for detecting and tracking faces". Proceedings Second Canadian Conference on Computer and Robot Vision (CRV'05) (2005):306-315
  21. Blanchard, G., Geman, D.. "Sequential testing designs for pattern recognition". Annals of Statistics 33 (2005):1144-1202
  22. Koloydenko, A. and D. Geman . "Ordinal coding of image microstructure". Proc. Inter. Conf. Image Processing, Computer Vision and Pattern Recognition (IPCV'06) (2006)
  23. Gangaputra, S. and D. Geman. "A design principle for coarse-to-fine classification". Proceedings CVPR 2006. IEEE Computer Society (2006):1877-1884
  24. Gangaputra, S., and D. Geman. "The trace model for object detection and tracking". Lecture Notes in Computer Science (2006)
  25. Sahbi, H. and D. Geman. "A hierarchy of support vector machines for pattern detection". Journal of Machine Learning Research 7 (2006):2087-2123
  26. Xu, L., D. Geman and R. Winslow . "Large-scale integration of cancer microarray data identifies a robust common cancer signature". BMC Bioinformatics 8 (2007):275
  27. Anderson, T. J., I. Tchernyshyov, R. Diez, R.N. Cole, D. Geman, C. V. Dang and R. L. Winslow . "Discovering robust protein biomarkers for disease from relative expression reversals in 2D DIGE data". Proeteomics 7 (2007):1197-1207
  28. Fereacatu, M. and D. Geman. "Interactive Search for Image Categories by Mental Matching". Proceedings ICCV 2007 (2007)
  29. Fleuret, F. and D. Geman. "Stationary Features and Cat Detection". Journal of Machine Learning Research (2008)
  30. Xu, L., A-C Tan, R. Winslow and D. Geman . "Merging microarray data from separate breast cancer studies provides a robust prognostic test". BMC Bioinformatics (2008)
  31. Ferecatu, M. and Geman, D.. "A statistical framework for image category search from a mental picture". IEEE Trans PAMI (2008)
  32. Geman, D., Afsari, B., Tan, Aik-Choon, Naiman, Daniel. "Microarray classification from several two-gene expression comparisons". Proceedings ICMLA 2008 (2008)
  33. Lin, X., Afsari, B., Marchionni, L., Parmigiani, G., Cope, L., Naiman, D., Geman, D.. "The ordering among a few genes can provide simple cancer biomarker and signal BRCA1 mutations". PLoS Computational Biology (2008)

Publications: Book Chapters

  1. Geman, D. "Coarse-to-fine classification and scene labeling." Nonlinear estimation and Classification: Lecture Notes in statistics. Springer Verlag, 2003. 31-48. ((pdf))

Publications: Journals

  1. Fleuret, F. and D. Geman. "Stationary Features and Cat Detection". Journal of Machine Learning Research (2008)
  2. Xu, L., A-C Tan, R. Winslow and D. Geman . "Merging microarray data from separate breast cancer studies provides a robust prognostic test". BMC Bioinformatics (2008)
  3. Ferecatu, M. and Geman, D.. "A statistical framework for image category search from a mental picture". IEEE Trans PAMI (2008)
  4. Xu, L., D. Geman and R. Winslow . "Large-scale integration of cancer microarray data identifies a robust common cancer signature". BMC Bioinformatics 8 (2007):275
  5. Anderson, T. J., I. Tchernyshyov, R. Diez, R.N. Cole, D. Geman, C. V. Dang and R. L. Winslow . "Discovering robust protein biomarkers for disease from relative expression reversals in 2D DIGE data". Proeteomics 7 (2007):1197-1207
  6. Koloydenko, A. and D. Geman . "Ordinal coding of image microstructure". Proc. Inter. Conf. Image Processing, Computer Vision and Pattern Recognition (IPCV'06) (2006)
  7. Gangaputra, S., and D. Geman. "The trace model for object detection and tracking". Lecture Notes in Computer Science (2006)
  8. Sahbi, H. and D. Geman. "A hierarchy of support vector machines for pattern detection". Journal of Machine Learning Research 7 (2006):2087-2123
  9. Blanchard, G., Geman D.. "Sequential testing designs for pattern recognition". Annals of Statistics (2005) ((pdf))
  10. Xu, L., Tan, A-C., Naiman, D., Geman, D., Winslow, R.. "Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data". Bioinformatics 21 (2005):3905-3911
  11. Tan, A-C., Naiman, D., Xu, L., Winslow, R., Geman D.. "Simple decision rules for classifying human cancers from gene expression profiles". Bioinformatics 21 (2005):3896-3904
  12. Fang, Y., Geman, D.. "Experiments in mental face retrieval". Proceedings AVBPA 2005, Lecture notes in Computer Science (2005):637-646 (Best Student Paper Award)
  13. Gangaputra, S., Geman, D.. "A unified stochastic model for detecting and tracking faces". Proceedings Second Canadian Conference on Computer and Robot Vision (CRV'05) (2005):306-315
  14. Blanchard, G., Geman, D.. "Sequential testing designs for pattern recognition". Annals of Statistics 33 (2005):1144-1202
  15. Amit, Y, Geman D., Fan, X.. "A coarse-to-fine strategy for milti-class shape detection". IEEE Trans. PAMI 28 (2004):1606-1621
  16. Geman, D., d'Avignon, C., Naiman, D., Winslow, R.. "Classifying gene expression profiles from pairwise mRNA comparisons". Statist Appl in Genetics and MOlecular Biology 3 (2004) ((http://www.bepress.com/sagmb/vol3/iss1/art19/))
  17. D'Avignon, C, Geman, D.. "Tree-structured neural decoding". Journal of Machine Learning Research 4 (2003):743-754
  18. Fleuret, F., D. Geman. "Coarse-to-Fine Face Detection". International Journal of Computer Vision 41 (2001):85-107
  19. Geman, D., B. Jedynak. "Model-Based Classification Trees". IEEE Trans. Information Theory 47 (2001):1075-1082

Publications: Conference Proceedings

  1. Geman, D., Afsari, B., Tan, Aik-Choon, Naiman, Daniel. "Microarray classification from several two-gene expression comparisons". Proceedings ICMLA 2008 (2008)
  2. Fereacatu, M. and D. Geman. "Interactive Search for Image Categories by Mental Matching". Proceedings ICCV 2007 (2007)
  3. Gangaputra, S. and D. Geman. "A design principle for coarse-to-fine classification". Proceedings CVPR 2006. IEEE Computer Society (2006):1877-1884
  4. Geman, D., d'Avignon, C., Naiman, D., Winslow, R., Zeboulon, A.. "Gene expression comparisons for class prediction in cancer studies". Proceedings 36th Symposium on the Interface: Computing Science and Statistics (2004) ((pdf))
  5. Gangaputra, S., Geman, D.. "Self-normalized linear tests". Proceedings CVPR 2004 2 (2004):616-622 ((pdf))
  6. Fan, X., Geman, D.. "Hierarchical object indexing and sequential learning". Proceedings ICPR 2004 3 (2004):65-68 ((pdf))
  7. Fleuret, F., D. Geman. "Fast Face Detection with Precise Pose Estimation". Proc. ICPR2002. IEEE Computer Society 1 (2002):235-238
  8. H. Sahbi, D. Geman and N. Boujemaa. "Coarse-to-Fine support vector networks". Proc. ICIP-02 3 (2002):925-928
  9. Krempp, S., Geman, D. and Amit, Y.. "Sequential Learning with Reusable Parts for Object Detection". (2002)
  10. Geman, D.. "Interrogation Bayesienne d'une Base de Donnees". Proceedings 33'rd Journees de Statistique (2001):15-20

Publications: Reports

  1. Lin, X., Afsari, B., Marchionni, L., Parmigiani, G., Cope, L., Naiman, D., Geman, D.. "The ordering among a few genes can provide simple cancer biomarker and signal BRCA1 mutations". PLoS Computational Biology (2008)
  2. Fang, Y., Geman, D.. "Experiments in mental face retrieval". Technical Report, Project IMEDIA. INRIA (2004) ((pdf))
  3. d'Avignon, C. and Geman, D.. "Tree-Structured Neural Decoding".

Supervised Students

  • Bahman Afsari 2'nd Year Graduate Doctoral student,ECE,in progress
  • Christian D'Avignon Graduate BME, Ph.D., 2004
  • Xiaodong Fan 4th Year Graduate Doctoral Student in ECE, JHU, in progress
  • Xiaodong Fan 4th Year Graduate Doctoral Student in ECE, JHU, in progress
  • Sachin Gangaputra 4th year Graduate Doctoral Student in ECE, JHU, in progress
  • Kan Jiang 3rd Year Graduate Doctoral Student, ECE, in progress
  • Franck Jung 5th Year Graduate Doctoral student at Ecole Polytechnique, France; Completed dissertation in Fall, 2001
  • Samuel Krempp 3rd Year Graduate Doctoral student at Ecole Normale Superieure, France
  • Ting Li 4'th Year Graduate Doctoral student, BME, in progress
  • Mary Lin 4'th Year Graduate Doctoral Student, AMS, co-supervised with D. Naiman. Graduated 2008.
  • Francisco Sanchez-Vega 3'rd year Graduate Doctoral student, AMS, co-supervised with L.Younes, in progress
  • David Simcha 2'nd Year Graduate Doctoral student, BME, in progress.
  • Wen Wu 3rd Year Graduate Doctoral student, AMS, in progress
  • Erdem Yoruk 3'rd year Graduate Doctoral Student, AMS, in progress; co-supervised with L. Younes
 
 




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