People

Filter by application area: Astrophysics, Computational Biology, Health, Human-compatible AI, Natural Language, Network Science, Neuroscience, Robotics, Speech, Trustworthy AI, Vision

To find many more JHU faculty in each application area, follow links from the research page. This page lists only members of the cross-cutting machine learning group.

Core ML Faculty

Raman Arora
Dept: Computer Science |  Centers: CLSP, MINDS
Research interests: Dimensionality reduction, statistical signal processing, online learning, adversarial learning, stochastic approximation
Applications: Speech
Teaching: CS 775: Statistical Machine Learning, CS 479/679: Representation Learning
Joel Bader
Dept: Biomedical Engineering, Computer Science |  Centers: IBBS
Research interests: Graphical models
Applications: Computational Biology, Network Science
Alexis Battle
Dept: Computer Science, Biostatistics |  Centers: CCB, IGM, MINDS
Research interests: Graphical models, transfer learning, structured regularization
Applications: Computational Biology
Mark Dredze
Dept: Computer Science |  Centers: CLSP, HLTCOE
Research interests: Bayesian models, topic models, online learning, transfer learning, semi-supervised learning, structured prediction
Applications: Natural Language, Speech, Health
Teaching: CS 475/675: Machine Learning
Jason Eisner
Dept: Computer Science, Cognitive Science |  Centers: CLSP, HLTCOE, MINDS
Research interests: Structured prediction (including inference over unbounded objects), graphical models, policy learning for fast approximate inference, nonparametric Bayes, grammar induction, unsupervised learning, interactive learning
Applications: Natural Language
Teaching: CS 325/425: Declarative Methods, CS 465/665: Natural Language Processing, CS 865: Selected Topics in Natural Language Processing
Donald Geman
Dept: Applied Mathematics and Statistics |  Centers: CIS, ICM, MINDS
Research interests: Graphical models, small sample learning, nonparametric statistics, model selection, active testing
Applications: Vision, Computational Biology
Teaching: AMS 450: Computational Molecular Medicine, AMS 735: Topics in Bioinformatics
Anqi (Angie) Liu
Dept: Computer Science |  Centers: MINDS, IAA
Research interests: Distribution shift, active learning, distributionally robust learning, uncertainty estimation, fair machine learning, interactive machine learning
Applications: Human-compatible AI, Trustworthy AI
Mauro Maggioni
Dept: Mathematics, Applied Mathematics and Statistics |  Centers: IDIES, MINDS
Research interests: Statistical learning, high-dimensional probability, spectral graph theory, stochastic dynamical systems, time series analysis, signal processing
Applications: Vision, Health
Carey Priebe
Dept: Applied Mathematics and Statistics, Computer Science |  Centers: CIS, HLTCOE, MINDS
Research interests: Computational statistics, kernel and mixture estimates, statistical pattern recognition, statistical image analysis, dimensionality reduction, model selection, and statistical inference for high-dimensional and graph data
Applications: Network Science, Neuroscience, Vision
Teaching: AMS 730: Statistical Theory, AMS 835: Topics in Statistical Pattern Recognition
Suchi Saria
Dept: Computer Science, Health Policy and Management |  Centers: ICM, MINDS, CLSP
Research interests: Graphical models, Bayesian models, time series modeling, non-parametric Bayes applications, hierarchical models, transfer learning
Applications: Health, Robotics
Teaching: CS 476/676: Machine Learning: Data to Models
Ilya Shpitser
Dept: Computer Science |  Centers: MINDS
Research interests: Causal discovery, mediation analysis, statistical and causal inference in graphical models
Applications: Health, Computational Biology
Teaching: CS 477/677: Causal Inference
Jeremias Sulam
Dept: Biomedical Engineering |  Centers: MINDS, CIS
Research interests: Sparse recovery, dictionary learning, machine learning, signal processing, image processing
Applications: Vision, Health
René Vidal
Dept: Biomedical Engineering, Computer Science |  Centers: ICM, CIS, LCSR, MINDS
Research interests: Manifold learning, manifold clustering, kernels for time series data, sparse representation, classification and clustering of high-dimensional datasets
Applications: Vision, Robotics, Health, Neuroscience
Joshua Vogelstein
Dept: Biomedical Engineering |  Centers: ICM, CIS, MINDS
Research interests: Statistical inference for high-dimensional and graph data
Applications: Network Science, Neuroscience, Vision
Alan Yuille
Dept: Cognitive Science, Computer Science |  Centers: CIS, MINDS
Research interests: Mathematical modeling, probabilistic inference, neural networks
Applications: Vision
Teaching: CS 485: Probabilistic Models of the Visual Cortex, CogSci 814: Research Seminar in Computer Vision

Affiliated ML Faculty

Vladimir Braverman
Dept: Computer Science |  Centers: IDIES, MINDS
Research interests: Dimensionality reduction, sublinear algorithms, clustering, randomized linear algebra
Applications: Cosmology, Programmable Networks
Tamás Budavári
Dept: Physics and Astronomy |  Centers: MINDS
Research interests: Computational statistics, Bayesian modeling, unsupervised learning, low-dimensional 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 |  Centers: MINDS
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, semi-supervised learning, multi-objective optimization
Applications: Natural Language, Speech
Elana Fertig
Dept: Oncology Biostatistics |  Centers: MINDS
Research interests: Cross-platform 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 414/614: Protein Structure Prediction and Design
Gregory Hager
Dept: Computer Science |  Centers: CISST, LCSR
Research interests: Time-series modeling, high-dimensional problems, weakly supervised learning
Applications: Vision, Robotics, Health
Teaching: CS 361/461: Computer Vision, CS 336: Algorithms for Sensor-Based Robotics
Justin Halberda
Dept: Psychological and Brain Sciences
Research interests: Neural networks, Bayesian models, pattern recognition
Applications: Vision
Hynek Hermansky
Dept: Electrical and Computer Engineering |  Centers: CLSP, HLTCOE
Research interests: Detect, identify, classify and transmit information in speech
Applications: Speech
Teaching: ECE 680: Speech and Auditory Processing by Humans and Machines, ECE 315/515: Information Processing of Audio and Visual Signals
Bruno Jedynak
Dept: Applied Mathematics and Statistics |  Centers: CIS
Research interests: Entropy pursuit, active testing, decision and classification trees, dynamic programming
Applications: Vision, Robotics
Abhinav K. Jha
Dept: Radiology and Radiological Sciences
Research interests: Statistical signal processing, unsupervised clustering, no-gold-standard 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
Yannis Kevrekidis
Dept: Applied Mathematics and Statistics, Chemical and Biomolecular Engineering, Urology
Research interests: Algorithms, data, and the computer-assisted modeling of complex dynamical systems
Applications: Computational Biology
Sanjeev Khudanpur
Dept: Electrical and Computer Engineering, Computer Science |  Centers: CLSP, HLTCOE, MINDS
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 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 868: Selected Topics in Machine Translation, CS 468/668: Machine Translation
Nam Lee
Dept: Applied Mathematics and Statistics
Research interests: Statistical inference for stochastic processes
Applications: Network Science
Jim Liew
Dept: Finance (Carey Business School) |  Centers: IDIES
Research interests: Machine Learning, Random Forest, Boosting, Time-Series Prediction, Natural Language
Applications: Finance, Health
Daniel Naiman
Dept: Applied Mathematics and Statistics
Research interests: Statistical inference, computational statistics, probabilistic modeling
Applications: Computational Biology, Health, Finance
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 |  Centers: MINDS
Research interests: Optimization in machine learning
Applications: Speech
Teaching: AMS 761: Nonlinear Optimization I, AMS 762: Nonlinear Optimization II
Michael Rosenblum
Dept: Biostatistics
Research interests: Statistical inference, construction of confidence intervals, causal inference
Applications: Health
Teaching: BioStats 646-649: Essentials of Probability and Statistical Inference I-IV
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 763: Stochastic Search and Optimization, AMS 433/633: 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 |  Centers: MINDS
Research interests: Bayesian statistics, nonparametrics, graphical models, high-dimensional -omics data, clinical trial design
Applications: Computational Biology, Health
Teaching: AMS 732: Bayesian Statistics, AMS 831: Advanced Topics in Bayesian Statistics
David Yarowsky
Dept: Computer Science |  Centers: CLSP, HLTCOE
Research interests: Co-training, weakly supervised learning
Applications: Natural Language
Teaching: CS 466: Information Retrieval and Web Agents
Laurent Younes
Dept: Applied Mathematics and Statistics |  Centers: CIS, ICM, MINDS
Research interests: Statistical properties of Markov Random fields, Image analysis, deformation analysis, shape recognition, computational anatomy
Applications: Computational Biology, Vision, Neuroscience
Teaching: AMS 737: Distribution-Free Statistics and Resampling Methods, AMS 743: Graphical Models
Scott Zeger
Dept: Biostatistics, Epidemiology
Research interests: Statistical inference, time series analysis, empirical Bayes, model evaluation
Applications: Neuroscience

Research Scientists

Glen Coppersmith
Dept: Electrical and Computer Engineering |  Centers: CLSP, HLTCOE
Research interests: Graph theory, pattern recognition, statistical inference
Applications: Network Science, Natural Language, Neuroscience, Computational Biology
Daniel DeMenthon
Dept: Applied Physics Laboratory
Research interests: Object recognition, activity recognition in video, applications of NLP to scene understanding
Applications: Vision, Robotics