Marc Riedel
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About
Marc Riedel is a Professor at the University of Minnesota in the United States. His research focuses on innovative computational techniques, particularly in the areas of DNA data storage, stochastic computing, and the application of neural networks. He has contributed to recent studies on the immune response to SARS-CoV-2 variants and the integration of chemical reactions in computing processes.
Recent Grants
Grant: Close
GOALI: SemiSynBio-III: Moving Millions of Droplets at Megahertz Speeds: DNA Computing, DNA Storage, and Synthetic Biology on an Industrial Platform for Digital Microfluidics
Open Date: 2022-10-01
Close Date: 2025-09-30
Grant: Close
EAGER: Computationally Predicting and Characterizing the Immune Response to Viral Infections
Open Date: 2020-08-01
Close Date: 2023-07-31
Grant: Close
SHF: Small: Advanced Digital Signal Processing with DNA
Open Date: 2014-08-01
Close Date: 2017-07-31
Grant: Close
SHF: Medium: Back to the Future with Printed, Flexible Electronics Design in a Post-CMOS Era when Transistor Counts Matter Again
Open Date: 2014-08-01
Close Date: 2018-07-31
Grant: Close
EAGER: Digital Yet Deliberately Random -- Synthesizing Logical Computation on Stochastic Bit Streams
Open Date: 2012-07-01
Close Date: 2015-06-30
Articles (10)
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2024
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2024
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2024
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2024
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2024
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2023
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2023
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2023
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2023
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2023
Collaborators (5)
Brenda Rubenstein
Brown University
Sachin Sapatnekar
University of Minnesota
Yang Lv
University of Minnesota
Jian-Ping Wang
University of Minnesota Twin Cities
Jian-Ping Wang
Professor
University of Minnesota System
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