Machine Learning

Core Faculty

Jeffrey Bilmes

Electrical Engineering

bilmes

ee.washington.edu

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

Pedro Domingos

pedrod

cs.washington.edu

Machine learning, artificial intelligence, data science

Ali Farhadi

ali

cs.washington.edu

Computer vision, machine learning

Emily Fox

Statistics

ebfox

cs.washington.edu

Carlos Guestrin

guestrin

cs.washington.edu

Machine learning

Sham Kakade

sham

cs.washington.edu

Large scale computational methods for statistics, machine learning, signal processing

Su-In Lee

suinlee

cs.washington.edu

Computational biology - network biology, genetics of complex traits, precision medicine, clinical sequencing
Machine learning - feature selection, structure learning, interpretable machine learning

Marina Meila

Statistics

mmp

stat.washington.edu

Statistical learning algorithms

William Noble

Genome Sciences

william-noble

uw.edu

Development of machine learning techniques for molecular biology

Noah Smith

nasmith

cs.washington.edu

Natural language processing

Daniel S. Weld

weld

cs.washington.edu

Artificial intelligence, internet systems, human computer interaction

Luke Zettlemoyer

lsz

cs.washington.edu

Natural language processing

Affiliate Faculty and Research Scientists

Liefeng Bo

Intel Labs

lfb

cs.washington.edu

Machine Learning, Computer Vision, Robotics

Luca Cazzanti

Applied Physics Lab

lucagc

u.washington.edu

Yejin Choi

yejin

cs.washington.edu

Natural language processing

Andrew Connolly

Astronomy

ajc

astro.washington.edu

Adrian Dobra

Statistics, Nursing

adobra

u.washington.edu

Mathias Drton

Statistics

md5

uw.edu

graphical models, algebraic statistics, and model selection

Oren Etzioni

etzioni

cs.washington.edu

Artificial intelligence, web search

Maryam Fazel

Electrical Engineering

mfazel

ee.uw.edu

Convex optimization; systems and control theory

Dieter Fox

fox

cs.washington.edu

Robotics, artificial intelligence, activity recognition

Hannaneh Hajishirzi

hannaneh

cs.washington.edu

Natural Language Processing, Artificial Intelligence, Machine Learning

Zaid Harchaoui

zaid

uw.edu

Machine learning, mathematical optimization, statistical hypothesis testing, computer vision, and signal processing.

Peter Hoff

Statistics, Biostatistics

pdhoff

uw.edu

Jeffrey Kim

INSER

jykim

uw.edu

Katrin Kirchhoff

Electrical Engineering

katrin

ee.washington.edu

Speech recognition, machine translations

Douglas Martin

Statistics

doug

stat.washington.edu

Tyler H McCormick

Statistics

tylermc

uw.edu

Vladimir Minin

Statistics

vminin

u.washington.edu

Adrian E Raftery

Statistics, Sociology

raftery

u.washington.edu

Thomas Richardson

Statistics

thomasr

u.washington.edu

Linda Shapiro

shapiro

cs.washington.edu

Computer vision, multimedia retrieval, biomedical informatics

Werner Stuetzle

Stastics

wxs

stat.washington.edu

Computational and graphical methods in multivariate analysis

Emanuel Todorov

todorov

cs.washington.edu

Intelligent control in biology and engineering

Daniela Witten

Biostatistics

dwitten

u.washington.edu

Postdoctoral Researchers

Yannis Konstas

ikonstas

cs.washington.edu

Natural Language Processing, Natural Language Generation

Graduate Students

Gagan Bansal

bansalg

cs.washington.edu

Justin M Bare

jbare

cs.washington.edu

Computational cognitive/neuro science

Antoine Bosselut

antoineb

cs.washington.edu

Jonathan Bragg

jbragg

cs.washington.edu

Safiye Celik

safiye

cs.washington.edu

Machine Learning, Computational Biology

Tianqi Chen

tqchen

cs.washington.edu

Eunsol Choi

eunsol

cs.washington.edu

Michael Jae-Yoon Chung

mjyc

cs.washington.edu

human-robot interaction, machine learning, brain-computer interface

Nicholas FitzGerald

nfitz

cs.washington.edu

Abram L Friesen

afriesen

cs.washington.edu

Luheng He

luheng

cs.washington.edu

Justin Huang

jstn

cs.washington.edu

Rishabh Iyer

rkiyer

u.washington.edu

Discrete optimization. Specifically, submodularity and machine learning

Srinivasan Iyer

sviyer

cs.stanford.edu

Mandar Joshi

mandar90

cs.washington.edu

natural language processing, machine learning

Mitchell Koch

mkoch

cs.washington.edu

Machine learning, artificial intelligence, natural language processing, information extraction

Aapo Kyrola

akyrola

cs.washington.edu

Christopher H. Lin

chrislin

cs.washington.edu

Artificial Intelligence, Probabilistic Planning, Reinforcement Learning, Decision Theory

Xi Victoria Lin

xilin

cs.washington.edu

natural language processing; artificial intelligence

Angli Liu

anglil

cs.washington.edu

Karthik Narayanan Mohan

(EE)

karna

uw.edu

George Mulcaire

gmulc

cs.washington.edu

Natural language processing, artificial intelligence

Maarten Sap

msap

cs.washington.edu

Natural Language Processing, Computational Social Science

yanchuan (yc) sim

PhD in residence

yanchuan

cs.washington.edu

computational social science, nlp for politics

Sam Thomson

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

webb

cs.washington.edu

Congle Zhang

clzhang

cs.washington.edu