Ph.D. Rice University.
My research is in machine learning. I study patterns in large, complex data sets, and make quantitative predictions and inferences about those patterns. Previous and current application I've worked on include numerous biomedical domains (pathology, genomics, pyschiatry, critical care medicine, radiology, emergency response), environmental monitoring, product design, and nuclear engineering. Machine learning problems I've worked on include classification, anomaly detection, ranking, clustering, active and semi-supervised learning, transfer learning, multi-task learning, domain adaptation, and density estimation.
T. Watanabe, D. Kessler, C. Scott, M. Angstadt, C. Sripada, ``Disease Prediction based on Functional Connectomes using a Scalable and Spatially-Informed Support Vector Machine," NeuroImage, 96C:183-202, 2014.
Ren, Y., Scott, C., and Papalambros, P. Y., ``A Scalable Algorithm for Eliciting the Most Preferred Designs of a Crowd," ASME International Design Engineering Technical Conferences, Portland, OR, Aug 4 - 7, 2013, DETC2013-13059.
J. Kim and C. Scott, ``Robust kernel density estimation," accepted to JMLR pending minor revisions.
G. Bellala, S. Bhavnani, and C. Scott, ``Group-based active query selection for rapid diagnosis in time-critical situations, IEEE Transactions on Information Theory, vol. 58, no. 1, 459-478, 2012.
C. Scott, ``Calibrated Asymmetric Surrogate Losses," Electronic Journal of Statistics, vol. 6, pp. 958-992, 2012.
T. Watanabe and C. Scott, ``Spatial Confidence Regions for Quantifying and Visualizing Registration Uncertainty," Workshop on Biomedical Image Registration (WBIR), 2012.
G. Lee and C. Scott, ``EM algorithms for multivariate Gaussian mixture models with truncated and censored data," Computational Statistics and Data Analysis, vol. 56, no. 9, pp. 2816-2829, 2012.
D. J. Lingenfelter, J. A. Fessler, C. Scott, Z. He. ``Asymptotic Source Detection Performance of Gamma Ray Imaging Systems Under Model Mismatch," IEEE Trans. Signal Processing, vol. 58, no. 11, pp. 5141--5151, 2011.
G. Lee, W. Finn, and C. Scott, ``Statistical file matching of flow cytometry data," J. Biomedical Informatics, vol. 44, no. 4., pp. 663-676, 2011.
D. Rossell, R. Guerra and C. Scott, ``Semi-parametric differential expression analysis via partial mixture estimation," Statistical Applications in Genetics and Molecular Biology, vol. 7, no. 1, article 15, 2008.