Machine Learning

Core Faculty

Electrical Engineering

Machine learning, speech/language/bioinformatics/music, submodularity & discrete optimization

Machine learning, artificial intelligence, data science

Ali Farhadi  

Computer vision, machine learning
Machine Learning
Sham Kakade  
Large scale computational methods for statistics, machine learning, signal processing

Machine learning, computational biology, medicine
Lee lab website

Sergey Levine
(Arriving Spring 2016) Robotics, machine learning, graphics, animation

Statistical learning algorithms

Genome Sciences

Development of machine learning techniques for molecular biology  
Natural language processing

Artificial intelligence, internet systems, human computer interaction

Natural language processing

Affiliate Faculty and Research Scientists

Intel Labs
Machine Learning, Computer Vision, Robotics
Applied Physics Lab  
Natural language processing
Statistics, Nursing  
graphical models, algebraic statistics, and model selection

Artificial intelligence, web search

Electrical Engineering  

Convex optimization; systems and control theory

Human computer interaction, ubiquitous computing

Robotics, artificial intelligence, activity recognition
Natural Language Processing, Artificial Intelligence, Machine Learning
Statistics, Biostatistics  
Electrical Engineering  

Speech recognition, machine translations

Statistics, Sociology

Computational neuroscience, humanoid robotics, brain-computer interfaces


Computer vision, multimedia retrieval, biomedical informatics


Computational and graphical methods in multivariate analysis

Intelligent control in biology and engineering


Postdoctoral Researchers

Ferhat Ay  
computational biology, epigenomics, biological networks
(Genome Sciences)

computational genomics, bioinformatics, dynamic Bayesian networks
Natural Language Processing, Natural Language Generation

computational biology and machine learning

Graduate Students
Computational cognitive/neuro science
Machine Learning, Computational Biology
human-robot interaction, machine learning, brain-computer interface
Ph.D. Student, MODE Lab and MELODI Lab  
Justin Huang  
Discrete optimization. Specifically, submodularity and machine learning  
natural language processing, machine learning
Machine learning, artificial intelligence, natural language processing, information extraction
Image of Christopher H. Lin  
Artificial Intelligence, Probabilistic Planning, Reinforcement Learning, Decision Theory  
natural language processing; artificial intelligence
Natural language processing, artificial intelligence
Maarten Sap  
Natural Language Processing, Computational Social Science  
PhD in residence
computational social science, nlp for politics
Robotics, Computer Vision, Machine Learning
Sam Thomson head shot

I'm interested in natural language understanding. My research is aimed at learning to automatically map natural language sentences to graph representations of their meaning, ideally in a way that works well for a broad variety of domains and languages.  

ML Alumni

Corin Anderson (Google)
Michele Banko (Microsoft)
Jesse Davis (KU Leuven)
Doug Downey (Northwestern)
Krzysztof Z Gajos (Harvard)
Vibhav Gogate (UT Dallas)
Stanley Kok (UMaryland - CSE)
Tessa Lau (IBM)
Thomas Lin (Microsoft)
Daniel Lowd (UOregon - CIS)
Xu Miao (Microsoft)
Ana-Maria Popescu (Yahoo!)
Stefan Schoenmackers (Decide)
Richard Segal (IBM)
Parag Singla (IIT Delhi - CSE)
Laurie Spencer (CSE)
Fei Wu (Google)
Danny Wyatt (Google)