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Scott C. Schmidler, Associate Professor of Statistical Science and Computer Science

 

Scott C. Schmidler

Contact Info:
Office Location:  223D Old Chem, Durham, NC 27708-0251
Office Phone:  (919) 684-8064
Email Address: send me a message
Web Page:  http://www.stat.duke.edu/~scs/

Teaching (Spring 2018):

  • STA 531.01, ADVANCED STOCHASTIC MODELING Synopsis
    Social Sciences 119, TuTh 08:30 AM-09:45 AM

Education:

Ph.D.Stanford University2002
B.A.University of California at Berkeley1995

Specialties:

Bayesian Statistics
MonteCarlo Methodology
Stochastic Processes
Graphical Models
Data Mining and Machine Learning

Research Interests: Bioinformatics, Monte Carlo Methods, Statistical Shape Analysis, Machine Learning, Computational Chemistry

Keywords:

Alanine • Algorithms • Amino Acid Sequence • Amino Acids • Animals • Arabidopsis • Bayes Theorem • beta-Lactamases • Biometry • Computer Graphics • Computer Simulation • Conserved Sequence • Dipeptides • DNA, Intergenic • Elasticity • Epigenesis, Genetic • Evolution, Molecular • Gene Expression Profiling • Gene Expression Regulation, Plant • Genetic Variation • Genome, Plant • Globins • Hemoglobins • Humans • Hydrogen-Ion Concentration • Hydrophobic and Hydrophilic Interactions • Markov Chains • Mathematical Computing • Microscopy, Atomic Force • Models, Chemical • Models, Genetic • Models, Molecular • Models, Statistical • Molecular Sequence Data • Molecular Weight • Monte Carlo Method • Osmolar Concentration • Peptides • Phycocyanin • Phylogeny • Protein Binding • Protein Conformation • Protein Folding • Protein Structure, Secondary • Proteins • Regression Analysis • Reproducibility of Results • Rhodophyta • RNA, Messenger • Sequence Alignment • Sequence Analysis, Protein • Software • Solvents • Stochastic Processes • Temperature • Thermodynamics • Water

Current Ph.D. Students  
  • Ben Cooke  
  • Merrill Liechty  
  • Ming Liao  
  • Jason Cooper  
  • Juliette Colinas  

Postdocs Mentored
  • Jeff Krause (2002)  

Recent Publications   (More Publications)

  1. VanDerwerken, D; Schmidler, SC, Monitoring Joint Convergence of MCMC Samplers, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 26 no. 3 (July, 2017), pp. 558-568 [doi]
  2. Cooke, B; Herzog, DP; Mattingly, JC; McKinley, SA; Schmidler, SC, Geometric ergodicity of two-dimensional Hamiltonian systems with a Lennard–Jones-like repulsive potential, Communications in Mathematical Sciences, vol. 15 no. 7 (2017), pp. 1987-2025 [doi]
  3. Ben-Shachar, R; Schmidler, S; Koelle, K, Drivers of Inter-individual Variation in Dengue Viral Load Dynamics., edited by Ferguson, NM, PLoS computational biology, vol. 12 no. 11 (November, 2016), pp. e1005194 [doi]  [abs]
  4. Estrada, R; Tomasi, C; Schmidler, SC; Farsiu, S, Tree Topology Estimation., IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37 no. 8 (August, 2015), pp. 1688-1701 [doi]  [abs]
  5. Herman, JL; Challis, CJ; Novák, Á; Hein, J; Schmidler, SC, Simultaneous Bayesian estimation of alignment and phylogeny under a joint model of protein sequence and structure., Molecular Biology and Evolution, vol. 31 no. 9 (September, 2014), pp. 2251-2266, ISSN 0737-4038 [doi]  [abs]