Faculty

CSE 648
althoffcs.washington.edu
Computational methods to improve human well-being, combining techniques from data science, social network analysis, and natural language processing.
EEB-418
bilmescs.washington.edu
Adjunct, Electrical & Computer Engineering

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

CSE 578
yejincs.washington.edu
Natural language processing
CSE 648
pedrodcs.washington.edu

Machine learning, artificial intelligence, data science

etzionics.washington.edu

Artificial intelligence, web search

CSE 652
alics.washington.edu

Computer vision, machine learning

mfazelee.washington.edu
Adjunct, Electrical & Computer Engineering

Convex optimization; systems and control theory

CSE 586
foxcs.washington.edu

Robotics, artificial intelligence, activity recognition

ebfoxcs.washington.edu
Large-scale Bayesian dynamic modeling and computations
CSE 568
guestrincs.washington.edu
Machine learning
CSE 470
hannanehcs.washington.edu
Natural Language Processing, Artificial Intelligence, Machine Learning
PDL B-314
zaiduw.edu
Adjunct, Statistics
Machine learning, mathematical optimization, statistical hypothesis testing, computer vision, and signal processing.
CSE 666
jamiesoncs.washington.edu

Machine learning, active learning, continuous and discrete optimization, multi-armed bandits, machine learning software systems

CSE 436
shamcs.washington.edu
Large scale computational methods for statistics, machine learning, signal processing
katrinee.washington.edu
Adjunct, Electrical & Computer Engineering

Speech recognition, machine translations

CSE 536
suinleecs.washington.edu

Computational biology - precision medicine, network biology, genetics of complex traits; Machine learning - interpretability, feature selection, structure learning

CSE346
mmpstat.washington.edu
Adjunct, Statistics

Statistical learning algorithms

Genome Sciences
william-nobleuw.edu
Adjunct, Genome Sciences

Development of machine learning techniques for molecular biology

CSE 132
sewoongcs.washington.edu
Theory and practice of machine learning, including generative adversarial networks, differential privacy, anonymous messaging, crowdsourcing, and ranking
moee.washington.edu
Adjunct, Electrical & Computer Engineering

Signal and image processing

CSE 634
shapirocs.washington.edu

Computer vision, multimedia retrieval, biomedical informatics

nasmithcs.washington.edu
Natural language processing
wxsstat.washington.edu
Adjunct, Statistics

Computational and graphical methods in multivariate analysis

CSE 588
weldcs.washington.edu

Artificial intelligence, internet systems, human computer interaction, natural language processing

Faculty (non-CSE)

lucagcu.washington.edu
ajcastro.washington.edu
adobrau.washington.edu
Padelford Hall A-317
md5uw.edu
Statistics
graphical models, algebraic statistics, and model selection
rafteryu.washington.edu
dwittenu.washington.edu

Affiliate Faculty

CSE446
lfbcs.washington.edu
Machine Learning, Computer Vision, Robotics
CSE 434
todorovcs.washington.edu

Intelligent control in biology and engineering

Postdocs

CSE276
lalitjcs.washington.edu
CSE270
ramyacs.washington.edu

Graduate Students (CSE)

CSE382
bansalgcs.washington.edu
CSE410
jbarecs.washington.edu
Computational cognitive/neuro science
CSE 510
antoinebcs.washington.edu
CSE 503
safiyecs.washington.edu
Machine Learning, Computational Biology
CSE 402
tqchencs.washington.edu
CSE482
mjyccs.washington.edu
human-robot interaction, machine learning, brain-computer interface
Justin Huang
jstncs.washington.edu
mandar90cs.washington.edu
natural language processing, machine learning
CSE374
mkochcs.washington.edu
Machine learning, artificial intelligence, natural language processing, information extraction
Aapo Kyrola
akyrolacs.washington.edu
George Mulcaire
CSE 394
gmulccs.washington.edu
Natural language processing, artificial intelligence
msapcs.washington.edu
Natural Language Processing, Computational Social Science
CSE 390
samtcs.washington.edu

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.

W Austin Webb
CSE524
webbcs.washington.edu
CSE 382
yanchuancs.washington.edu
PhD in residence
computational social science, nlp for politics

Non-CSE Grad Students

rkiyeru.washington.edu
Discrete optimization. Specifically, submodularity and machine learning

Undergraduate Researchers

Matthew Bryan
CSE 286
mmattbcs.washington.edu
Application of machine learning techniques to the brain-computer interface (BCI) domain. This includes hierarchical task modelling (HBCIs), and the use of POMDPs for optimal data collection.
Maxwell Forbes
mbforbescs.washington.edu
Stefan Martin
CSE 286
stefan7uw.edu
Spatial filtering for the brain-computer interface (BCI) domain.

Alumni

CSE446
lfbcs.washington.edu
Intel Labs
Machine Learning, Computer Vision, Robotics
CSE394
bdferriscs.washington.edu
CSE506
tlincs.washington.edu
CSE444
xmcs.washington.edu