

Tamás Budavári Dept: Physics and Astronomy Research interests: Computational statistics, Bayesian modeling, unsupervised learning, lowdimensional embedding Applications: Astrophysics



Philippe Burlina Dept: Applied Physics Laboratory, Computer Science, Wilmer Eye Institute Research interests: Pattern recognition, anomaly detection, PDF estimation, Bayesian filtering, data assimilation Applications: Vision



Brian Caffo Dept: Biostatistics Research interests: Applications of ML to imaging problems, boosting, random forests, unsupervised clustering Applications: Neuroscience, Computational Biology, Vision



Kevin Duh Dept: Human Language Technology Center of Excellence  Centers: HLTCOE, CLSP Research interests: Neural networks, structured prediction, semisupervised learning, multiobjective optimization Applications: Natural Language, Speech



Elana Fertig Dept: Oncology Biostatistics Research interests: Crossplatform data and model integration, Markov chain Monte Carlo, matrix factorization Applications: Computational Biology



Jeffrey Gray Dept: Chemical and Biomolecular Engineering Research interests: Protein structure prediction and design Applications: Computational Biology Teaching: ChemBE 416: Current Topics in Protein Structure Prediction



Gregory Hager Dept: Computer Science  Centers: CISST, LCSR Research interests: Timeseries modeling, highdimensional problems, weakly supervised learning Applications: Vision, Robotics, Health Teaching: CS 361/461: Computer Vision, CS 336: Algorithms for SensorBased Robotics



Justin Halberda Dept: Psychological and Brain Sciences Research interests: Neural networks, Bayesian models, pattern recognition Applications: Vision



Bruno Jedynak Dept: Applied Mathematics and Statistics  Centers: CIS Research interests: Entropy pursuit, active testing, decision and classification trees, dynamic programming Applications: Vision, Robotics Teaching: AMS 431: Statistical Methods in Imaging



Abhinav K. Jha Dept: Radiology and Radiological Sciences Research interests: Statistical signal processing, unsupervised clustering, nogoldstandard evaluation methods Applications: Health



Rachel Karchin Dept: Biomedical Engineering, Computer Science  Centers: ICM, IGM Research interests: Supervised learning, small sample learning, graphical models Applications: Computational Biology, Health Teaching: BME 488/688: Foundations of Computational Biology & Bioinformatics II



Sanjeev Khudanpur Dept: Electrical and Computer Engineering, Computer Science  Centers: CLSP, HLTCOE Research interests: Statistical modeling of signals and systems, information theoretic methods in statistics Applications: Speech, Natural Language Teaching: ECE 447: Introduction to Information Theory and Coding, ECE 674: Information Theoretic Methods in Statistics, ECE 651: Random Signal Analysis, ECE 666: Information Extraction from Speech and Text



Marin Kobilarov Dept: Mechanical Engineering  Centers: LCSR Research interests: Planning, control, active sensing, active sampling Applications: Robotics



Philipp Koehn Dept: Computer Science  Centers: CLSP Research interests: Discriminative structured prediction Applications: Natural Language Teaching: CS 768: Selected Topics in Machine Translation



Nam Lee Dept: Applied Mathematics and Statistics Research interests: Statistical inference for stochastic processes Applications: Network Science



Daniel Naiman Dept: Applied Mathematics and Statistics Research interests: Statistical inference, computational statistics, probabilistic modeling Applications: Computational Biology, Health, Finance Teaching: AMS 430: Introduction to Statistics



Fernando Pineda Dept: Molecular Microbiology and Immunology Research interests: Neural networks, signal processing, statistical physics Applications: Computational Biology



Daniel Robinson Dept: Applied Mathematics and Statistics Research interests: Optimization in machine learning Applications: Speech Teaching: AMS 661: Nonlinear Optimization I, AMS 662: Nonlinear Optimization II



Michael Rosenblum Dept: Biostatistics Research interests: Statistical inference, construction of confidence intervals, causal inference Applications: Health Teaching: BioStats 646649: Essentials of Probability and Statistical Inference IIV



Reza Shadmehr Dept: Biomedical Engineering Research interests: Bayesian learning Applications: Computational Biology, Neuroscience Teaching: BME 491/691: Learning Theory I



James Spall Dept: Applied Physics Laboratory, Applied Mathematics and Statistics Research interests: Stochastic systems, stochastic optimization and learning, Monte Carlo methods, neural networks, feedback control systems, system identification, optimization theory, uncertainty calculation Applications: Defense, Transportation Teaching: AMS 663: Stochastic Search and Optimization, AMS 433: Monte Carlo Methods



Alex Szalay Dept: Physics and Astronomy, Computer Science Research interests: Outlier detection, streaming data, big data, dimensionality reduction Applications: Astrophysics



Benjamin Van Durme Dept: Computer Science  Centers: CLSP, HLTCOE Research interests: Bayesian models, Randomized/streaming algorithms Applications: Natural Language, Speech



Yanxun Xu Dept: Applied Mathematics and Statistics Research interests: Bayesian statistics, nonparametrics, graphical models, highdimensional omics data, clinical trial design Applications: Computational Biology, Health Teaching: AMS 632: Bayesian Statistics, AMS 633: Advanced Topics in Bayesian Statistics



David Yarowsky Dept: Computer Science  Centers: CLSP, HLTCOE Research interests: Cotraining, weakly supervised learning Applications: Natural Language Teaching: CS 466: Information Retrieval and Web Agents



Laurent Younes Dept: Applied Mathematics and Statistics  Centers: CIS, ICM Research interests: Statistical properties of Markov Random fields, Image analysis, deformation analysis, shape recognition, computational anatomy Applications: Computational Biology, Vision, Neuroscience Teaching: AMS 640: Machine Learning, AMS 643: Graphical Models, AMS 493: Mathematical Image Analysis



Scott Zeger Dept: Biostatistics, Epidemiology Research interests: Statistical inference, time series analysis, empirical Bayes, model evaluation Applications: Neuroscience
