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, Ontario, 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. 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. 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. His work on the inference and quantification of
gene isoforms from
RNA-Seq data was reported in
Genetic Engineering and Biotechnology News. He was elected to the 2024 class of
ISCB Fellows, "for pioneering research in computational biology and bioinformatics", the 2007 class of
ACM Fellows, "for contributions to computational biology and computational complexity", and a
Fellow of the American Association for the Advancement of Science (AAAS) in 2006. ==References==