Faculty
EEB-418
bilmes
cs.washington.edu
Adjunct, Electrical & Computer Engineering
Machine learning, speech/language/bioinformatics/music, submodularity & discrete optimization
CSE2 210
bboots
cs.washington.edu
Fundamental and applied research at the intersection of artificial intelligence, machine learning, and robotics
leobix
uw.edu
Adjunct, Foster School of Business
Artificial intelligence, machine learning, operations research, information systems, large language models and generative AI, multimodality, healthcare, environmental sustainability, predictive and prescriptive analytics, AI for social good, AI and the future of work
CSE2 236
mcakmak
cs.washington.edu
Human-robot interaction, programming by demonstration, robot teleoperation
aylin
uw.edu
Adjunct, Information School
Artificial intelligence, AI ethics, algorithmic bias, computational social science, computer vision, data science, machine learning, natural language processing
rcalo
uw.edu
Adjunct, School of Law
Law and emerging technology, especially robotics, artificial intelligence, augmented and virtual reality, disinformation, security, and privacy
CSE 578
yejin
cs.washington.edu
Natural language processing
anind
uw.edu
Adjunct, Information School
ssdu
cs.washington.edu
Deep learning, representation learning, reinforcement learning, non-convex optimization
CSE2 203
ali
cs.washington.edu
Computer vision, machine learning
mfazel
ee.washington.edu
Adjunct, Electrical & Computer Engineering
Convex optimization; systems and control theory
CSE2 204
fox
cs.washington.edu
Robotics, artificial intelligence, activity recognition
CSE 528
mgolub
cs.washington.edu
Machine learning and data science for neuroengineering and basic systems neuroscience; deep learning techniques for understanding neural computations in the brain; brain-computer interfaces
abhgupta
cs.washington.edu
Deep reinforcement learning algorithms for robotic systems, with a focus on reward specification, continual real-world data collection and learning, offline reinforcement learning, and multi-task learning and dexterous manipulation
CSE 470
hannaneh
cs.washington.edu
Natural Language Processing, Artificial Intelligence, Machine Learning
lalitj
uw.edu
Adjunct, Foster School of Business
Machine learning, online experiments, human preference learning
CSE2 340
jamieson
cs.washington.edu
Machine learning, active learning, reinforcement learning
nj
cs.washington.edu
Social reinforcement learning: developing algorithms that combine insights from social learning, deep learning, and multi-agent training to improve AI agents' learning, generalization, coordination, and human-AI interaction.
pangwei
cs.washington.edu
Techniques and theory for building reliable and interactive machine learning systems
ranjay
cs.washington.edu
Development of new representations, models, and training paradigms for machine learning and computer vision, drawing on insights from human-computer interaction, social, and behavioral sciences
CSE 536
suinlee
cs.washington.edu
Computational biology - precision medicine, network biology, genetics of complex traits; Machine learning - interpretability, feature selection, structure learning
CSE2 315
jerryzli
cs.washington.edu
Learning theory, including quantum information theory, the science of large foundation models, and high-dimensional statistics
CSE346
mmp
stat.washington.edu
Adjunct, Statistics
Statistical learning algorithms
saramos
cs.washington.edu
Development and application of machine learning and statistical methods to study health and disease
Genome Sciences
william-noble
uw.edu
Adjunct, Genome Sciences
Development of machine learning techniques for molecular biology
CSE2 207
sewoong
cs.washington.edu
Theory and practice of machine learning, including generative adversarial networks, differential privacy, anonymous messaging, crowdsourcing, and ranking
CSE 590
zoran
cs.washington.edu
Scientific-discovery games, games for learning, computer graphics, animation, optimal control, natural locomotion, optimization
rao
cs.washington.edu
Computational neuroscience, artificial intelligence, brain-computer interfaces
ratliffl
uw.edu
Adjunct, Electrical & Computer Engineering
Machine learning, game theory, decision-making, optimization, artificial intelligence
CSE2 342
seitz
cs.washington.edu
Computer vision, computer graphics
chirags
uw.edu
Adjunct, Information School
Artificial intelligence, machine learning, data science, information retrieval
rbs
cs.washington.edu
Allen School Associate Director for Diversity, Equity, Inclusion and Access and Professor of Computer Science & Engineering
Computing education research and learning technologies to help people explore their curiosities and create things to improve the world around themselves
CSE 634
shapiro
cs.washington.edu
Computer vision, multimedia retrieval, biomedical informatics
nasmith
cs.washington.edu
Natural language processing
CSE2 242
siddh
cs.washington.edu
Robotic manipulation, motion planning, human-robot interaction, assistive robotics
CSE 638
tanimoto
cs.washington.edu
Liveness in programming environments, programming for virtual reality, educational technology, collaborative problem-solving environments
CSE 566
yuliats
cs.washington.edu
Natural language processing
swang
cs.washington.edu
Computational biology — learning in the open-world setting, biomedical natural language processing, network biology
CSE 534
lsz
cs.washington.edu
Faculty (non-CSE)
thomasr
u.washington.edu
Statistics
Affiliate Faculty
CSE446
lfb
cs.washington.edu
Machine Learning, Computer Vision, Robotics
guestrin
stanford.edu
Machine learning
halevy
google.com
Google
Data management, artificial intelligence
horvitz
microsoft.com
Microsoft Research
Adaptive systems and interaction
kautz
cs.rochester.edu
University of Rochester
Knowledge representation and reasoning systems.
Yoky Matsuoka
CSE650
yoky
cs.washington.edu
Nest
Robotics, brain-machine interface
CSE436
matthai
microsoft.com
Microsoft Research
Human activity recognition, sensor-based reasoning
desney
microsoft.com
Microsoft Research
Human-Computer Interaction and Brain-Computer Interfaces
CSE 434
todorov
cs.washington.edu
Intelligent control in biology and engineering
Postdocs
mgord
cs.washington.edu
Mitchell Gordon is a postdoc working with professors Jeff Heer and Yejin Choi. He designs interactive systems and evaluation approaches that bridge principles of human-computer interaction with the realities of machine learning. He recently completed his Ph.D. in computer science at Stanford, advised by Michael Bernstein and James Landay. He will join MIT EECS/CSAIL as an assistant professor starting fall 2024.
grotz
cs.washington.edu
Markus Grotz currently works with Dieter Fox in the UW Robotics and State Estimation Lab and Tamim Asfour in the High Performance Humanoid Technologies Lab (H2T). His research focuses on visual perception for robotic manipulation tasks.
Graduate Students (CSE)
CSE382
bansalg
cs.washington.edu
CSE410
jbare
cs.washington.edu
Computational cognitive/neuro science
CSE 510
antoineb
cs.washington.edu
Arunkumar Byravan
barun
cs.washington.edu
CSE 503
safiye
cs.washington.edu
Machine Learning, Computational Biology
CSE 402
tqchen
cs.washington.edu
eunsol
cs.washington.edu
CSE482
mjyc
cs.washington.edu
human-robot interaction, machine learning, brain-computer interface
nfitz
cs.washington.edu
CSE 374
mbforbes
cs.washington.edu
Natural language processing: learning commonsense knowledge, NLP + {robotics, vision}
luheng
cs.washington.edu
CSE491 (lab)
peter
cs.washington.edu
3D reconstruction and mapping with RGB-D (Kinect-style) cameras.
Justin Huang
jstn
cs.washington.edu
mandar90
cs.washington.edu
natural language processing, machine learning
CSE374
mkoch
cs.washington.edu
Machine learning, artificial intelligence, natural language processing, information extraction
CSE 386
kentonl
cs.washington.edu
natural language processing; artificial intelligence
Lillian Li
CSE 306
yli2244
cs.washington.edu
CSE414
anglil
cs.washington.edu
Julian Michael
julianjm
cs.washington.edu
Natural language processing, artificial intelligence, natural language semantics
George Mulcaire
CSE 394
gmulc
cs.washington.edu
Natural language processing, artificial intelligence
Eric Rombokas
eric.rombokas
gmail.com
msap
cs.washington.edu
Natural Language Processing, Computational Social Science
CSE 390
samt
cs.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
webb
cs.washington.edu
Congle Zhang
clzhang
cs.washington.edu
clzhang
cs.washington.edu
Non-CSE Grad Students
karna
uw.edu
(EE)
Collaborators
sumitb
microsoft.com
Microsoft Research
peterc
vulcan.com
Vulcan
sdumais
microsoft.com
Microsoft Research
benjamin.grosof
gmail.com
Vulcan
me
patrickpantel.com
Microsoft Research
teevan
microsoft.com
Microsoft Research
Undergraduate Researchers
Matthew Bryan
CSE 286
mmattb
cs.washington.edu
Brain-Computer Interfaces, Neural Engineering
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
mbforbes
cs.washington.edu
Stefan Martin
CSE 286
stefan7
uw.edu
Spatial filtering for the brain-computer interface (BCI) domain.
Alumni
CSE446
lfb
cs.washington.edu
Intel Labs
Machine Learning, Computer Vision, Robotics
jbragg
cs.washington.edu
Marc Deisenroth
CSE480
marc
cs.washington.edu
CSE394
bdferris
cs.washington.edu
CSE506
tlin
cs.washington.edu
CSE414
cynthia
cs.washington.edu
Human-Robot Interaction, Robots and Language, Robot Learning
CSE444
xm
cs.washington.edu
CSE490
nath
cs.washington.edu
xiaofeng.ren
Amazon
