Eli Shlizerman is an Associate Professor in the departments of Applied Mathematics and Electrical and Computer Engineering at the University of Washington. He received his MSc and PhD degrees in Computer Science and Applied Mathematics from the Weizmann Institute of Science in 2005 and 2009 respectively. Prof. Shlizerman also holds the appointment of Washington Research Foundation for Data-Intensive Research Professor as a fellow of UW eScience institute.
Prof. Shlizerman's research is in the interdisciplinary area of NeuroAI, in which fundamental properties of Neurobiological Networks (Neuro) are investigated along with Artificial Neural Networks (AI). Such an approach aims to distill foundational principles of computation by networks with neural components. To study these systems, Prof. Shlizerman develops with members in UW NeuroAI and with collaborators methods at the intersection of deep learning, data-analysis and dynamical systems. The methods aim toward advancing our interpretation of these systems, assisting experimental work in neurobiology or new technologies in neural engineering, and proposing novel systems. Prof. Shlizerman and his laboratory, UW NeuroAI, conduct research that can be divided into 3 main pillars: 1. Development of AI methodology for data in Neuroscience (AI for Neuro). 2. Investigation of the contribution of interpretation of neurobiological mechanisms to design, understanding and control of AI systems (Neuro for AI). 3. Proposing AI systems for multi-modal learning, capable of processing various modalities simultaneously, e.g. video, audio, text, and brain signals (Multi-modal AI).
Contact:
E-mail: shlizee<>uw.edu
Office(Amath): Lewis Hall 230D
Office(ECE): ECE 446
Phone: 206 543 6658
