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Kevin Jamieson

Computer Science and EngineeringAI CoreResearch Faculty

Kevin Jamieson is an Assistant Professor in the Paul G. Allen School of Computer Science & Engineering at UW and is the Guestrin Endowed Professor in Artificial Intelligence and Machine Learning. Kevin's research explores how to leverage already-collected data to inform what future measurements to make next, in a closed loop. Such active learning can extract considerably richer insights than any measurement plan fixed in advance, using the same statistical budget. His work ranges from theory to practical algorithms with guarantees to open-source machine learning systems and has been adopted in a range of applications, including measuring human perception in psychology studies, adaptive A/B/n testing in dynamic web-environments, numerical optimization, and choosing hyperparameters for deep neural networks.

Ting Cao

Materials Science and EngineeringAI CoreIRG 2Research Faculty

Ting Cao is an Assistant Professor of Materials Science & Engineering. Research in the Cao group primary focuses on the electronic structures, excited-state properties, and light-matter interactions of one- and two-dimensional material systems.

Xiaosong Li

ChemistryAI CoreEducationExecutive Director of Education and OutreachIRG 1

Xiaosong Li is the Larry R. Dalton Endowed Chair in Chemistry and the Associate Vice Provost for Research Cyberinfrastructure. His research focuses on developing and applying time-dependent relativistic and non-relativistic electronic structure theories for studying excited state chemical processes that underpin energy conversion, photocatalysis, and ultrafast spectroscopies.

Scott Dunham

Electrical EngineeringAI CoreIRG 1Research Faculty

Professor Scott Dunham, EE Dept., University of Washington .The Nanotechnology Modeling Lab at the University of Washington is part of the Electrical Engineering Department in the College of Engineering. The efforts within the Lab are focused on obtaining basic understanding of nanofabrication processes and device operation, applying that knowledge to produce better models, simulators and devices. Research within the Lab includes model development for process simulation, application of a wide range of simulation and modeling tools for device design and optimization, and experimental studies of device fabrication.