Stanford University
Showing 121-140 of 792 Results
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Daniel Norbert Congreve
Assistant Professor of Electrical Engineering
BioDan is an Assistant Professor in the Department of Electrical Engineering at Stanford University. Prior to Stanford, Dan received his B.S. and M.S. from Iowa State in 2011, working with Vik Dalal studying defect densities of nano-crystalline and amorphous silicon. He then received his PhD from MIT in Electrical Engineering in 2015, studying under Marc Baldo. His thesis work focused on photonic energy conversion using singlet fission and triplet fusion as downconverting and upconverting processes, respectively. He spent a year as a postdoc with Will Tisdale in Chemical Engineering at MIT studying perovskite nanoplatelets. He joined the Rowland Institute in 2016 as a Rowland Fellow before starting at Stanford in 2020. Dan is a Moore Inventor Fellow, Sloan Research Fellow, Intel Rising Star, and co-founder of Quadratic3D, a startup looking to commercialize 3D printing technologies. His current research interests focus on engineering nanomaterials to solve challenging problems.
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Jasmine Michelle Cox
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
BioJasmine Cox is a PhD candidate in Electrical Engineering. She received her B.S. in Electrical Engineering with a minor in Applied Mathematics from Boise State University in 2020. During her undergraduate academic career, Jasmine was a Ronald E. McNair Scholar and a member of the Advanced Nanomaterials and Manufacturing Laboratory focusing on additive manufacturing of flexible hybrid electronics. Her current research as a member of Prof. Debbie G. Senesky’s group, EXtreme Environment Microsystems Lab (XLab), explores the synthesis, fabrication, and characterization of devices and materials in extreme environments that can be found in space.
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Onat Dalmaz
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsMy current research centers on developing mathematical tools to enhance the explainability of image reconstruction algorithms in computational magnetic resonance imaging (MRI). By integrating principles from machine learning, signal processing, and generative models, I aim to improve the transparency and reliability of AI applications in medical imaging.
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Beverly Davis
Administrative Associate, Electrical Engineering
Current Role at StanfordFaculty Administrative Assistant for Professors
Daniel Congreve, Eric Pop, Nick McKeown and the Shenoy Lab -
Caden Davis
Masters Student in Electrical Engineering, admitted Autumn 2025
Current Research and Scholarly InterestsPreviously, I developed a platform for joint communications and sensing (JCAS) with mmWave beamforming systems as part of the UCLA Wireless Lab under Professor Ian Roberts. Then, as a DSP engineer intern at Anduril, I worked to enhance detectors for frequency-hopping OFDM and chirp-spread-spectrum signals. From these experiences, I found a strong interest in optimization methods and statistical inference techniques for signal processing systems, mainly wireless communications and radar.
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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
