School of Engineering
Showing 111-120 of 150 Results
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Polly Fordyce
Associate Professor of Bioengineering and of Genetics
Current Research and Scholarly InterestsThe Fordyce Lab is focused on developing new instrumentation and assays for making quantitative, systems-scale biophysical measurements of molecular interactions. Current research in the lab is focused on three main platforms: (1) arrays of valved reaction chambers for high-throughput protein expression and characterization, (2) spectrally encoded beads for multiplexed bioassays, and (3) sortable droplets and microwells for single-cell assays.
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Kasimir Forth
Affiliate, Civil and Environmental Engineering
BioKasimir Forth is a Visiting Postdoctoral Scholar at the Gradient Spaces Lab in the Department of Civil and Environmental Engineering at Stanford University. His research lies at the intersection of Construction Informatics, Knowledge Representation, and Artificial Intelligence for a circular and sustainable built environment.
As part of his research exchange, he works on multi-modal data fusion, combining 2D drawings, 3D point clouds, and semantic graph representations, to establish reliable digital passports and disassembly representations of existing structures.
Kasimir completed his Dr.-Ing. (phd) at the Technical University of Munich (TUM) in 2024 and worked as the Managing Director of the Leonhard Obermeyer Center at TUM. He is currently a Postdoctoral Researcher at the Chair of Circular Engineering for Architecture (CEA) at ETH Zurich. -
Emily Fox
Professor of Statistics and of Computer Science
BioEmily Fox is a Professor in the Departments of Statistics and Computer Science at Stanford University. Prior to Stanford, she was the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science & Engineering and Department of Statistics at the University of Washington. From 2018-2021, Emily led the Health AI team at Apple, where she was a Distinguished Engineer. Before joining UW, Emily was an Assistant Professor at the Wharton School Department of Statistics at the University of Pennsylvania. She earned her doctorate from Electrical Engineering and Computer Science (EECS) at MIT where her thesis was recognized with EECS' Jin-Au Kong Outstanding Doctoral Thesis Prize and the Leonard J. Savage Award for Best Thesis in Applied Methodology.
Emily has been awarded a CZ Biohub Investigator Award, Presidential Early Career Award for Scientists and Engineers (PECASE), a Sloan Research Fellowship, ONR Young Investigator Award, and NSF CAREER Award. Her research interests are in modeling complex time series arising in health, particularly from health wearables and neuroimaging modalities.
