
About
David Tse is the Thomas Kailath and Guanghan Xu Professor of Engineering in the Department of Electrical Engineering at Stanford University. He is also a member of the Institute for Computational and Mathematical Engineering (ICME). His research focuses on information theory, blockchain technology, power systems, wireless communications, and genomics. He teaches courses such as Fundamentals of Blockchain Infrastructure and Information Theory.
His work spans interdisciplinary areas, including developing tools for genomic assembly like FinisherSC and advancing consensus algorithms for blockchain systems. Notable contributions include exploring voltage regulation in power distribution networks and analyzing spatial degrees of freedom in MIMO systems.
- Research Interests: Blockchain protocols, information theory fundamentals, power system optimization, and genomics tools.
- Recent Publications: Over 15 papers, including work on blockchain scalability, consensus mechanisms, and wireless communication systems.
- Grants and Funding: Active in securing research funding for projects related to smart contracts, distributed systems, and machine learning applications.
He advises doctoral and master’s students on cutting-edge research topics such as cryptographic protocols and genomic data analysis. His lab actively collaborates on interdisciplinary projects bridging theory and practical applications.
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