I am primarily interested in using tools from machine learning to approach clinical and scientific problems in psychiatry and medicine. These tools include supervised learning, pattern classification, regression, unsupervised learning and clustering, information theoretic methods and Bayesian methods. Many problems in medicine involve pattern recognition with large datasets in high dimensions, and modern artificial intelligence algorithms are especially well-equipped to deal with these datasets. Furthermore, novel techniques may be developed based on the complexity of specific datasets and goals of specific analytical problems. Specific models can guide clinical decision-making as well as point to relevant variables in disease pathogenesis and venues of therapy.For my CV please visit: http://www.columbia.edu/~xsl2101/cv.html