USC.edu

Fengzhu Sun

Professor of Quantitative and Computational Biology and Mathematics
Email fsun@usc.edu Office RRI 416H Office Phone (213) 740-2413

Center, Institute & Lab Affiliations

  • Center for Computational and Experimental Genomics,
  • NIH Center for Excellence in Genomic Sciences at USC, Investigator

Education

  • Ph.D. Applied Mathematics, University of Southern California, 1/1994
  • M.S. Probability and Statistics, Peking University, 7/1988
  • B.S. Mathematics, Shandong University, 7/1983
    • Postdoc, University pf Southern California, 08/1994 – 08/1995

  • Tenure Track Appointments

    • Professor, University of Souther California, 2006 –
    • Associate Professor, Program in Molecular and Computational Biology, Department of Biological Scienc, University of Southern California, 01/01/2001 –
    • Associate Professor, Department of Mathematics, University of Southern California, 01/01/2000 –
    • Adjunct Assistant Professor, Department of Biostatistics, Rollins School of Public Health, Emory University, 01/01/1997 – 01/01/1999
    • Assistant Professor, Department of Genetics, School of Medicine, Emory University, 01/01/1995 – 01/01/1999
    • Lecturer, Mathematics Department, Shandong University, 01/01/1988 – 01/01/1992
    • Instructor, Mathematics Department, Shandong University, 01/01/1983 – 01/01/1985

  • Summary Statement of Research Interests

    Fengzhu Sun is a Professor of Molecular and Computational Biology. His Bachelors in Mathematics is from Shandong University, Masters in Probability and Statistics is from Peking University, and PhD in Applied Mathematics is from University of Southern California. He came back to USC in 2000 as an associate professor after being an assistant professor of genetics and biostatistics at Emory University from 1995 to 2000. He has been a professor since 2006.

    Professor Sun works in the area of Computational Biology and Bioinformatics, Statistical Genetics, and Mathematical Modeling. His recent research interests include protein interaction networks, gene expression, single nucleotide polymorphisms (SNP), linkage disequilibrium (LD) and their applications in predicting protein functions, gene regulation networks, and disease gene identification. He is also interested in metagenomics, in particular, marine genomics.

    His previous research accomplishments include: 1) protein domain interaction and protein function prediction integrating multiple data sources, 2) dynamic programming algorithms for haplotype block partition and tag SNP selection, 3) 1-TDT: transmission disequilibrium test when one parent is available, and 3) theoretical studies of polymerase chain reaction (PCR) related biotechnologies.

    • (Fall 2024) QBIO 305. Statistics for Biological Sciences, TTh, 05:00pm – 06:20pm, ZHS252
    • American Association for the Advancement of Science Fellow, Fellow, 12/01/2012 –
    • Provost Mellon Mentoring Award, 2012 –
    • Astor Visiting Lectureship of Oxford, 2011-2012

  • Professional Memberships

    • American Statistical Assiciation, 2004 –
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