University of Texas, PhD Program, Fall 2003-present, advisor: Inderjit Dhillon
Cornell University, Bachelor of Science in Computer Science, 2003
2003-present: working on machine learning and data mining problems under the supervision of Professor Inderjit Dhillon. My current research focuses on developing methods for the problem of automatically characterizing and understanding software behavior. Previous problems I've worked on include: web search, web ranking, social network analysis, semi-supervised clustering, DNA Microarray clustering/imputation, and metric nearness applications
2005-present: working with Professor Emmett Witchel on the autonomic computing system Clarify which uses machine learning algorithms to characterize unexpected program behavior
Jason V. Davis and Inderjit Dhillon. Structured Metric Learning for High Dimensional Problems. Proc. 14th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2008
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, and Inderjit Dhillon. Information-theoretic metric learning. Proc. 24th International Conference on Machine Learning, 2007 (2007 ICML Best Student Paper Award - matlab implementation)
Jungwoo Ha, Christopher J. Rossbach, Jason V. Davis, Indrajit Roy, Hany E. Ramadan, Donald E. Porter, David L. Chen, and Emmett Witchel. Improved error reporting for software that uses black box components. Programming Language Design and Implementation, 2007.
Jason V. Davis, Brian Kulis, Suvrit Sra, and Inderjit Dhillon. Information-theoretic metric learning. NIPS 2006 Workshop on Learning to Compare Examples, 2006
Jason V. Davis and Inderjit Dhillon. Differential entropic clustering of multivariate gaussians. Advances in Neural Information Processing Systems, 2006
Jason V. Davis, Jungwoo Ha, Hany E. Ramadan, Christopher J. Rossbach, and Emmett Witchel. Cost-sensitive decision tree learning for forensic classification. Proc. 17th European Conference on Machine Learning, 2006
Jason V. Davis and Inderjit Dhillon. Estimating the global PageRank of web communities. Proc. 12th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2006.
Jason V. Davis and Golan Yona. Prediction of protein-protein interactions and the interaction site from sequence information - an extensive study of the co-evolution model. Cornell University Technical Report TR2004-191
I am co-founder of Texas Data Analytics, a data mining, machine learning, and web search intelligence consulting firm.