Stanford University
Showing 2,241-2,250 of 2,682 Results
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Thibaut Van Gorp
Graduate Visiting Researcher Student, Aeronautics and Astronautics
BioThibaut received his Bachelor of Science in Electrical and Mechanical Engineering from UCLouvain (Belgium). His interests include semiconductor device modeling and characterization, with a focus on micro- and nanofabrication, RF applications, and electronics for harsh environments.
He is currently a Graduate Visiting Researcher at XLab, Stanford University, while completing his Master of Science in Electrical Engineering at UCLouvain.
His Master’s thesis, titled “Characterization, Modeling, and Simulation of FD-SOI Transistors at High Temperature,” focuses on the analysis of DC and RF device performance using TCAD simulations and compact modeling in Cadence Virtuoso. -
Koen van Greevenbroek
Postdoctoral Scholar, Earth System Science
BioKoen is a postdoctoral scholar at the Sustainable Solutions Lab, working with Ken Caldeira and Steve Davis. His current work involves developing a global food systems optimization model to study trade-offs and synergies between emissions and health. With a background in mathematics and interested in sustainability generally, he has previously worked on continental long-term planning of energy systems. During his PhD at UiT The Arctic University of Norway, he focussed in particular on near-optimal solutions and weather variability.
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Henk van Voorst
Postdoctoral Scholar, Radiology
BioDr. van Voorst is a postdoctoral scholar in Radiology studying the interfaces of artificial intelligence and neuroradiological imaging in stroke. Originally educated as an MD, Dr. van Voorst gained additional degrees in Finance and Data Science. As a PhD student, Dr. van Voorst focused on cost-effectiveness modeling and developed machine learning and deep learning algorithms with applications in acute ischemic stroke imaging. In his current research, Dr. van Voorst develops artificial intelligence algorithms to automatically extract information from arteries and veins in radiological stroke imaging.
