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Yaoqi Zhou

School of Information and Communication Technology
+61 (0)7 5552 8228 (Work)
+61 (0)7 5552 8349 (Work)
G24 2.10, Gold Coast Campus
G23 2.26A, Gold Coast Campus

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Prof Zhou obtained his PhD in Chemical Physics from State University of New York at Stony Brook, USA in 1990. After a brief adventure as one of the founding members of Applied Physics and Chemistry Laboratory in California, Prof Zhou was back to academe as a postdoctoral fellow with Professor Carol Hall at North Carolina State University from 1994 to 1995. In 1995, Prof Zhou was awarded a NSF postdoctoral fellowship in Mathematical Biology as well as a NIH postdoctoral fellowship to work with Nobel Laureate Prof Martin Karplus in protein folding at Harvard University. He joined the Department of Physiology and Biophysics of State University of New York at Buffalo as an Assistant Professor in 2000 and became a tenured Associate Professor in 2004. Prof Zhou moved to Indiana University Schools of Informatics and Medicine at Indianapolis as a tenured full Professor in 2006 and was appointed as the director of Bioinformatics Program at IU School of Informatics in 2007. In 2013, Prof Zhou was appointed as the Professor of Computational Biology at Griffith University and became a member of the Institute for Glycomics. Prof Zhou is an established leader in structural bioinformatics particularly in the area of protein structure prediction, protein binding, and protein design by developing new mathematical algorithms and machine-learning techniques. He has published over 200 papers, most of which are in computational structural biology/ bioinformatics, were cited over 10000 times with h-index of 57, according to Google Scholar. His move to Griffith University is motivated by the ability to integrate computational prediction with experimental validation at the Institute for Glycomics. His current interest includes characterisation of synonymous mutations, structure-based ligand/inhibitor design, peptide inhibitor design for anti-bacterial, anti-virial and anti-cancer therapeutics, protein engineering and vaccine design, and discrimination of diseasing causing genetic variants from neural ones as well as fundamental studies of protein/RNA structure/function prediction by modern deep learning techniques.


  • Member
    Institute for Glycomics2013


  • PhD
    State University of New York, Stony Brook, USA