Dr. Ming-Ying Leung

Professor, Mathematical Sciences and

Director, Bioinformatics Program

Ph.D., 1989, Mathematics, Stanford University

Dr. Leung's research centers on probabilistic modeling and statistical bioinformatics, focusing on the applications of Markov models, Poisson approximations, and the scan statistics to DNA sequence analysis. She applied the scan statistics to identify unusual clusters of palindromes in the DNA genomes of herpesviruses. An algorithm for predicting viral replication origins based on palindrome clusters and other sequence patterns is currently being developed.

With a research theme in applied probability and statistical bioinformatics, several ongoing projects are funded by NIH, NSF, and Texas Higher Education Coordinating Board ARP. Dr. Leung is committed to promote student involvement in research collaboration and scientific publication. Please visit her webpage about student supports for details. In addition, Dr. Leung is also a member of the Statistical Consulting Lab (SCL) and Bioinformatics Computing Lab (BCL); you may want to visit these two websites as well.