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| “Collaboration between genomics and informatics will accelerate our understanding of the biological systems and in turn improve our living.” |
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YOUNG RESEARCHER AWARD |
| Assoc Prof Sung Wing-Kin |
Ph D, B Sc (University of Hong Kong)
Department of Computer Science |
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| RESEARCH INTERESTS |
- Computational biology
- Design and analysis of algorithms
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| RESEARCH ACHIEVEMENTS |
- Pioneer in time-and-space efficient algorithms for
constructing full-text indices, like suffix array (SA) and
compressed suffix array (CSA)
- One of the leading teams in the area of indexed approximate
string matching
- Developed an efficient local alignment method which takes
less than a minute to align a pattern of length 3000 with
the human genome and guarantees to find all local
alignments (versus BLAST which is a heuristics)
- Developed the currently most sensitive and most specific
motif finder SPACE for detecting DN A motifs and the
corresponding binding sites
- Published a series of methods for constructing/comparing
phylogenetic trees/networks
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| RESEARCH STRENGTHS |
- Innovatively apply computing science algorithms to resolve
genomics problems
- Experienced in collaborating with people from multi-disciplines,
including computer scientists, statisticians, and biologists
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| PUBLICATION CREDITS |
- Published more than 130 refereed conference and
journal papers including SIAM Journal on Computing,
SODA, STOC, FOCS, Bioinformatics, Cell, and Nature with
over 700 citations
- Author/co-author of five book chapters related to
bioinformatics and algorithm
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| INTERNATIONAL STANDING |
- Programme committee of key international conferences
like International Conference on Research in Computational
Molecular Biology (RECOMB) and International Conference
on Genome Informatics (GIW )
- A joint winner of the BCL6 target gene finding challenge
in the DREAM2 competition (2007)
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| AWARDS AND ACCOLADES |
- National Science Award (2006)
- Forum on Information Technology (FIT ) best paper
award (2003)
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| RESEARCH ASPIRATION |
- Developing new informatics tools to enhance our understanding
of the biological systems.
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