Affiliate Faculty


September 25, 2026

Yuguang Li

Yuguang Li

Bio Yuguang Li is an Affiliate Assistant Professor in Electrical & Computer Engineering at the University of Washington and a Principal Applied Scientist at Zillow Group. His work spans 3D vision and spatial intelligence, with interests in multi-view reconstruction, foundation models, novel-view synthesis, generative geometry, and learned scene representations. His research is informed by extensive…


June 9, 2026

Vivek Athalye

Vivek Athalye

Bio Vivek Athalye is a Senior Scientist at the Allen Institute in the Neural Dynamics accelerator. Vivek is interested in the mechanisms that enable neuronal populations to generate and learn dynamics that control our behavior. His lab develops computational models and closed-loop interfaces with the brain, integrating 2-photon microscopy and holographic optogenetics, electrophysiology, and behavior….


May 19, 2026

Jimin Kim

Jimin Kim

Bio Jimin Kim is a researcher in Computational Neuroscience, Data-Driven Modeling and Deep Learning based Artificial Intelligence. Jimin develops mathematical models for the whole nervous systems of real organisms to better understand how they translate sensory signals to behaviors. He is interested in biological neural networks’ relationship to artificial neural networks, state-of-the-art AI systems, and…


May 12, 2026

Azad Naeemi

Azad Naeemi

Bio Azad Naeemi is a Dean’s professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. His technical research crosses the boundaries of materials, devices, circuits, and systems, investigating integrated circuits based on conventional and emerging nanoscale devices and interconnects. His educational research includes experiential learning environments and their impact…


April 23, 2026

Charles B. Delahunt

Charles Delahunt

Bio Charles Delahunt has over 10 years’ experience applying AI to global health challenges including malaria diagnosis, neglected tropical disease diagnosis, ultrasound, and labor monitoring. His work is focused on clinical realities and deployment. He seeks to (i) understand the particular requirements of a clinical use-case, and then (ii) translate these constraints into drivers of…


April 8, 2026

Joseph J. Probst

Joseph Probst Headshot

Bio Joseph is the managing principal for the Seattle, WA based office of Dority & Manning, P.A. He advises clients on intellectual property matters, with a particular emphasis on assisting inventors in obtaining patents to protect their creative works and products. He drafts and prosecutes patent applications primarily directed to electrical and computer-implemented subject matter….


March 3, 2026

Leland Gardner

Leland Gardner

Bio Leland Gardner is an experienced technology lawyer specializing in intellectual property issues. He has counseled clients at large and small high-technology companies on patents, trade secrets, commercial agreements, AI, and open source matters.


January 20, 2025

Michael Hegg

Bio Mike is currently the Director of Sensors at Meta, where he leads a multidisciplinary team of 75+ engineers responsible for all HW sensing solutions across Meta’s product platforms. His organization covers multiple sensing modalities, including image, motion, bio, and MEMS-based sensors. His team has played a key role in launching many of Meta’s flagship…


December 19, 2024

Harisankar (Hari) Sadasivan

Bio Harisankar (Hari) Sadasivan is a Senior AI Performance Engineer at NVIDIA, an Affiliate Assistant Professor at the University of Washington, Seattle, and a Senior Member/Distinguished Visitor at IEEE. Hari’s research focuses on 3 Critical and Emergent Technologies (CET) that are identified as significant for US’s national security- ‘advanced computing’ for ‘artificial intelligence’ and ‘biotechnologies’….


November 20, 2024

Bill Yuchen Lin

Bill Yuchen Lin

Bio Bill Yuchen Lin is a Research Scientist at the Allen Institute for AI) and an Affiliate Assistant Professor at the University of Washington. His research centers on aligning large language models (LLMs), training AI agents, reasoning, and multimodal LLMs, with a focus on post-training, evaluation, reward modeling, and synthetic data generation. He also aims…



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