Scott C Schmidler, Assistant Professor of Statistical Science
| Office Location: | 223D Old Chemistry Bldg. |
| Office Phone: | 919 684-8064 |
| Email Address: |   |
| Web Page: | http://www.stat.duke.edu/~scs/ |
Teaching (Fall 2008):
- STA 140.01, STATISTICAL DECISION ANALYSIS
Synopsis
- Old Chem 025, TuTh 02:50 PM-04:05 PM
- STA 214.02, PROBABILITY/STAT MODELS
Synopsis
- Old Chem 101, TuTh 11:40 AM-12:55 PM
- Education:
PhD Stanford University 2002 B.A. University of California, Berkeley 1995
- Specialties:
- Bayesian Statistics
- Research Interests: Bioinformatics, Monte Carlo Methods, Statistical Shape Analysis, Machine Learning, Computational Chemistry
- Current Ph.D. Students
- Ben Cooke
- Merrill Liechty
- Ming Liao
- Jason Cooper
- Juliette Colinas
- Postdocs Mentored
- Jeff Krause (2002)
- Recent Publications
(More Publications)
- S.C. Schmidler, Discussion of "A Statistical Approach to Modeling Genomic Aberrations in Cancer Cells" by Newton et. al, Bayesian Statistics7 (2003), Oxford University Press
- Schmidler, S.C., Liu, J.S., Brutlag, D.L., Bayesian segmentation of protein secondary structure, Journal of Computational Biology, vol. 7 no. 1/2 (2000), pp. 233-248
- Schmidler, S.C., Liu, J.S., Brutlag, D.L., Probabilistic modeling for protein structure prediction, FASEB Journal, vol. 13 no. 7 (1999), pp. A1542
- Schmidler, S.C., Liu, J.S., Brutlag, D.L., Bayesian protein structure prediction, Case Studies in Bayesian Statistics, vol. 5 (1999), pp. 363-378
- Wu, T.D., Schmidler, S.C., Hastie, T., Brutlag, D.L., Regression analysis of multiple protein structures, Journal of Computational Biology, vol. 5 no. 3 (1998), pp. 597-607
- Recent Grant Support
- Duke CBCBGT Postdoctoral Fellowship Grant, 2001/07.
- Scientific Computing Research Environments for the Mathematical Sciences, NSF DMS SCREMS program, 2001/07.