Tao Jiang (computer scientist)

{{Short description|Chinese-Canadian theoretical computer scientist and bioinformatician}}

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| birth_date = 1963

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| fields = Computer Science

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| work_institutions = {{ublist|McMaster University |Tsinghua University | University of California, Riverside}}

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| doctoral_advisor = Oscar H. Ibarra

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Tao Jiang ({{zh|s=姜涛}}) is a Chinese-Canadian computer scientist and bioinformatician. He is Distinguished Professor of Computer Science and Engineering at the University of California, Riverside and was previously Distinguished Visiting Professor at Tsinghua University and Professor of Computer Science at McMaster University.

Biography

Jiang received his BS degree in Computer Science from the University of Science and Technology of China, Hefei in 1984 and PhD in Computer Science in 1988 from the University of Minnesota, Twin Cities, advised by Oscar H. Ibarra. From 1989 to 2001, he was on faculty in the Department of Software at McMaster University, Hamilton, Onatario, Canada. He joined the University of California, Riverside as Professor of Computer Science and Engineering in 1999 and became Distinguished Professor of Computer Science and Engineering in 2019.{{cite web|url=https://www.cs.ucr.edu/~jiang/|title=Tao Jiang UCR homepage|publisher=UC Riverside|date=August 7, 2023|access-date=2023-08-07}}{{cite web|url=https://insideucr.ucr.edu/awards/2019/10/29/chancellor-honors-promoted-faculty-members|title=Chancellor honors promoted faculty members|publisher=UC Riverside|date=October 29, 2019|access-date=2023-08-12}}

Jiang worked extensively in theoretical computer science, including automata theory, formal languages, computational complexity, applications of Kolmogorov complexity, and approximation algorithms, and computational biology, including multiple sequence alignment, computational phylogenetics and computational analysis of alternative splicing.{{cite web|url=https://scholar.google.com/citations?user=XUhsCZwAAAAJ&hl=en|title=Tao Jiang Google Scholar profile|publisher=Google Scholar|date=August 7, 2023|access-date=2023-08-07}} In particular, his joint research with Ming Li and Paul Vitanyi on the well-known Heilbronn triangle problem using the incompressibility method was featured in New Scientist.{{cite web|url=https://www.newscientist.com/article/mg16422115-300-on-a-roll/|title=On A roll|publisher=New Scientist|date=November 9, 1999|access-date=2023-08-12}} His work on the inference and quantification of gene isoforms from RNA-Seq data was reported in Genetic Engineering and Biotechnology News.{{cite web|url = https://www.genengnews.com/insights/gene-expression-enters-transformative-times/|title=Gene Expression Enters Transformative Times|publisher=Mary Ann Liebert|date=November 15, 2013|access-date=2023-08-12}} He was elected to the 2024 class of ISCB Fellows, "for pioneering research in computational biology and bioinformatics",{{cite web|url=https://www.iscb.org/iscb-news-items/5232-march-8-2024-iscb-congratulates-and-introduces-the-2024-class-of-fellows|title=ISCB Congratulates and Introduces the 2024 Class of Fellows|publisher=International Society for Computational Biology|date=March 8, 2024|access-date=2024-03-11}} the 2007 class of ACM Fellows, "for contributions to computational biology and computational complexity",{{cite web|url=https://www.acm.org/media-center/2007/december/acm-names-38-fellows-for-computing-and-it-innovations-in-industry-education-entertainment|title=ACM Names 38 Fellows For Computing And It Innovations In Industry, Education, Entertainment|publisher=Association for Computing Machinery|date=December 3, 2007|access-date=2023-08-06}} and a Fellow of the American Association for the Advancement of Science (AAAS) in 2006.{{cite web|url=https://www.aaas.org/resources/aaas-annual-report-2006|title=AAAS Annual Report 2006|publisher=American Association for the Advancement of Science|date=June 13, 2007|access-date=2023-08-06}}

References

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