School of Engineering
Showing 1-6 of 6 Results
Adam de la Zerda
Associate Professor of Structural Biology and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsMolecular imaging technologies for studying cancer biology in vivo
Professor of Radiology (Canary Cancer Center) and, by courtesy, of Electrical Engineering
BioUtkan Demirci is a tenured professor in the School of Medicine at Stanford University and serves as the Interim Division Chief and Director of the Canary Center at Stanford for Cancer Early Detection in the Department of Radiology. Prior to Stanford, he was an Associate Professor of Medicine at the Brigham and Women’s Hospital, Harvard Medical School, and a faculty member of the Harvard-MIT Health Sciences and Technology division.
Professor Demirci received his PhD from Stanford University in Electrical Engineering in 2005 and holds M.S. degrees in Electrical Engineering, and in Management Science and Engineering. He has published over 200 peer-reviewed journal articles, 24 book chapters, 7 edited books, and several hundred abstracts and proceedings, as well as having over 25 patents and disclosures pending or granted. He has mentored and trained hundreds of successful scientists, entrepreneurs and academicians and fostered research and industry collaborations around the world. Dr. Demirci was awarded the NSF CAREER Award, and IEEE EMBS Early Career Award. He is currently a fellow of the the American Institute for Medical and Biological Engineering (AIMBE, 2017), and Distinguished Investigator of the Academy for Radiology and Biomedical Imaging Research and serves as an editorial board member for a number of peer-reviewed journals.
The BAMM Lab group focuses on developing innovative extracellular vesicle isolation tools, point-of-care technologies and creating microfluidic platforms for early cancer detection with broad applications to multiple diseases including infertility and HIV. Dr. Demirci’s lab has collaborated with over 50 research groups and industry partners around the world. His seminal work in microfluidics has led to the development of innovative FDA-approved platform technologies in medicine and many of his inventions have been industry licensed. He holds several FDA-approved and CE-marked technologies that have been widely used by fertility clinics with assisted reproductive technologies leading to over thousands of live births globally and in the US.
Dr. Demirci is a serial academic entrepreneur and co-founder of DxNow, Zymot, Levitas Bio, Mercury Biosciences and Koek Biotech and serves as an advisor, consultant and/or board member to some early stage companies and investment groups.
Associate Professor of Neurobiology, of Psychiatry and Behavioral Sciences and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsOur research goal is to understand how dynamics in neuronal circuits relate and constrain the representation of information and computations upon it. We adopt three synergistic strategies: First, we analyze neural circuit population recordings to better understand the relation between neural dynamics and behavior, Second, we theoretically explore the types of dynamics that could be associated with particular network computations. Third, we analyze the structural properties of neural circuits.
Associate Professor of Statistics, of Electrical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsMy work spans statistical learning, optimization, information theory, and computation, with a few driving goals: 1. To discover statistical learning procedures that optimally trade between real-world resources while maintaining statistical efficiency. 2. To build efficient large-scale optimization methods that move beyond bespoke solutions to methods that robustly work. 3. To develop tools to assess and guarantee the validity of---and confidence we should have in---machine-learned systems.
Robert and Barbara Kleist Professor in the School of Engineering, Emeritus
BioDutton's group develops and applies computer aids to process modeling and device analysis. His circuit design activities emphasize layout-related issues of parameter extraction and electrical behavior for devices that affect system performance. Activities include primarily silicon technology modeling both for digital and analog circuits, including OE/RF applications. New emerging area now includes bio-sensors and the development of computer-aided bio-sensor design.