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| Bioinformatics Directory: People: Investigators |
Chief Investigators
Dr Timothy L. Bailey, The University of Queensland
Timothy Bailey is Senior Research Fellow at IMB, UQ. He has a strong record of research excellence and is internationally acknowledged for his work in writing and supporting MAST, MEME, MetaMEME and MCAST, the most widely used motif-recognition programs in bioinformatics with over 900 unique users per month so far in 2006 via the MEME website. Timothy Bailey’s major areas of expertise are machine learning, statistical pattern recognition (discovery) and the statistics of sequence alignment scores. He is experienced in developing parallel algorithms for massively parallel computer architectures, and development and support of web-based algorithms for bioinformatics.
Prof Kevin Burrage, The University of Queensland
ARC Federation Fellow Professor Kevin Burrage founded Queensland Parallel Supercomputer Foundation, the Advanced Computational Modelling Centre and the ViSAC visualisation laboratory at UQ. During 2004-2005 he was Oliver Smithies Fellow at Balliol College, Oxford. Kevin Burrage has co-authored 160 papers, two patents, and one monograph in systems biology, computational mathematics and mathematical modeling. His work has appeared in Nature Genetics, PNAS, Molecular and Cellular Biology, BMC Bioinformatics, Progress in Biophysics and Molecular Biology, Proteins, and Biophysical Journal. He co-authored the first modeling and simulation paper to appear in Molecular and Cellular Biology.
A/Prof Yi-Ping Phoebe Chen, Deakin University
A/Professor Yi-Ping Phoebe Chen is Head of Bioinformatics and of Multimedia at Deakin University. She founded and continues to play an active role in the annual Asia Pacific Bioinformatics Conference. Her expertise includes:
- Advanced database and visual query languages
- Data mining techniques such as clustering, fuzzy logic, pattern discovery, classification and prediction applied to bioinformatics applications
- Visualisation and multimedia for complex data types
- Bioinformatics, including database integration and visualisation
- Experimental and computational research in bioinformatics applications such as plant architecture and genome data.
Prof Mike Fellows, The University of Newcastle
Professor Mike Fellows is internationally recognised for his foundational work in parameterised complexity and algorithmic methods, and is senior author of the definitive text. In 2005 he was a co-finalist for the Gödel Prize, the most prestigious international award in theoretical computer science in the area of algorithmics. Mike Fellows has expertise in the design and analysis of algorithms, the formal description of computational complexity, and in applications of parameterised complexity to problems in computational biology and bioinformatics.
Dr Markus Hegland, The Australian National University
Markus Hegland coordinates advanced computation and modelling at ANU's Centre for Mathematics and its Application, and chairs the Computational Mathematics Group of the Australian Mathematical Society. He is known for:
- Expertise in numerical analysis for high-dimensional problems, and applications to data mining and computational biology
- Introduction of the sparse grid approximation method opticom
- Development of a new scalable smoothing method for very large datasets
- Important results on dimensionality and selection of regularisation parameters in numerical differentiation and other ill-posed problems
- Development of new vector-parallel FFT algorithms and parallel solvers for narrow-banded linear systems
Professor Geoffrey J. McLachlan, The University of Queensland
ARC Professorial Fellow Geoff McLachlan is Chair of the Mathematics Discipline at UQ. He has 150+ publications in discriminant and cluster analyses, machine learning, neural networks, pattern recognition, and mixture modelling. Geoff has expertise in statistics fundamental to analysis of microarray gene-expression and other high-throughput bioinformatic data. In his pioneering work based on mixtures of distributions, he explores the role of statistical models in providing a framework for cluster analysis and in analysing complex data sets in important practical problems where a single distribution is inadequate. His research contributions have appeared in five monographs, the last four in the prestigious series Applied Probability and Statistics.
Dr Brad J. Marsh, The University of Queensland
Brad Marsh is a Fellow of the Juvenile Diabetes Research Foundation International. His groundbreaking work on high-resolution tomography of whole mammalian cells has been featured on the covers of Proceedings of the National Academy of Science, Traffic, Nucleic Acids Research, and Biochimica et Biophysica Acta as well as in the latest editions of major textbooks in molecular cell biology. His expertise is in molecular and structural cell biology of mammalian biosynthetic pathways, including high-resolution, large-scale imaging and 3D reconstruction and analysis of subcellular architecture by electron microscope tomography.
Professor John S. Mattick, The University of Queensland
ARC Federation Fellow John Mattick has wide experience in the molecular biology and genomics of prokaryotes and eukaryotes. He was foundation Director of the Australian Genome Research Facility (19996-2002) and of the Institute for Molecular Bioscience (2000-2005), and a foundation member of the Board of the Australian National Genome Information Service. He is a member of the Council of Scientists of the Human Frontier Science Program, and a member of the Editorial Boards of Bioessays, Genome Research, PloS Computational Biology, Genomic Medicine, and RNA Biology.
A/Professor Pablo Moscato, The University of Newcastle
Associate Professor Pablo Moscato is founding Director of the Newcastle Bioinformatics Initiative at the University of Newcastle, and Co-Director of Newcastle Priority Research Centre for Bioinformatics, Biomarker Discovery and Information-Based Medicine. He is developing a high profile internationally as a leader in memetic algorithms (MAs), a name he coined while at California Institute of Technology in 1989. His work has helped to establish MAs as one of the most powerful metaheuristics for combinatorial optimisation, and MAs are increasingly being applied in bioinformatics. He has also developed state-of-the-art exact algorithms for NP-hard optimisation problems in hierarchical clustering. Pablo Moscato maintains numerous collaborations internationally and within Australia (Newcastle, Sydney, Brisbane, Melbourne, Canberra) including within ACB.
Professor Mark Ragan (Director), The University of Queensland
Mark Ragan FLS is founding head of Genomics and Computational Biology at IMB, UQ. Prior to 2000, he was a Fellow of the Canadian Institute for Advanced Research, was co-CI on the first Canadian whole genome-sequencing project, co-founded and hosted Canadian Bioinformatics Resource, and actively participated in establishing Genome Canada and Genome Atlantic. Professor Ragan’s expertise spans comparative, computational and evolutionary genomics; molecular phylogenetics, including likelihood, Bayesian and experimental approaches; supertrees; automated pipelines and workflows for high-throughput bioinformatics; computational biology, especially involving large datasets; technologies for data management and knowledge integration in molecular bioscience; high-performance computing; and project management.
Professor Shoba Ranganathan, Macquarie University
Shoba Ranganathan, foundation Professor of Bioinformatics at Macquarie University, is President of Asia-Pacific BioNet and former Director of the International Society for Computational Biology. She is also highly acclaimed internationally for her numerous contributions to bioinformatics education. Until 2004 she headed the bioinformatics graduate program at the National University of Singapore. Her expertise is in structural bioinformatics, including protein folding and surfaces; graph theoretical analysis of alternative transcript diversity in eukaryotes; data integration and visualisation in molecular biology and bioinformatics; immunoinformatics; computational systems biology especially applied to host-parasite interactions and to fungal secretion pathways.
Dr Rohan D. Teasdale, The University of Queensland
Rohan Teasdale is Deputy Head of Genomics and Computational Biology at IMB, UQ. He supervises an internationally recognised, multi-disciplinary research group focused on computational cell biology, with a current drive to understand how individual proteins are compartmentalised within the mammalian cell, and defining the protein machinery responsible for their transport. His expertise in both cellular and computational biology represents a unique combination within Australia, and specifically includes high-throughput subcellular determination, live cell- and confocal microscopy, image analysis, data management and integration, database development, ontologies, protein feature prediction (proteome-wide annotation and algorithm development), and computational modeling and simulation.
Professor Xiaofang Zhou, The University of Queensland
Xiaofang Zhou, Professor of Computer Science at UQ, is Research Director of ARC Research Network in Enterprise Information Infrastructure, and an Investigator in the DART e-research middleware project funded by DEST. His research focuses on effective solutions to managing, integrating and analysing very large amounts of complex data. Professor Zhou’s research interests include scientific, spatial and multimedia databases, data mining, bioinformatics, high-performance query processing, information systems interoperability, Web information systems, and e-research. He has 100+ research papers, many in leading venues including ACM Transactions on Database Systems, IEEE Transactions on Data and Knowledge Engineering, VLDB Journal, SIGMOD, and ICDE.
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Partner Investigators
Professor Michael A. Langston, The University of Tennessee
Professor Langston's research interests include the analysis of algorithms, computational biology, discrete mathematics, fixed-parameter tractability, graph theory, optimisation and parallel computation. He is best known for his long-standing work on combinatorial algorithms, complexity theory and design paradigms for sequential and parallel computation. In addition to maintaining his research program, he regularly teaches courses on algorithm design, bioinformatics, combinatorics, graph theory and related subjects. He is currently Professor of Computer Science at the University of Tennessee, and regularly consults in the Life Sciences, Chemistry, Computer Science and Mathematics Divisions at Oak Ridge National Laboratory.
Dr Isidore Rigoutsos, IBM Thomas J. Watson Research Center
Isidore Rigoutsos heads the Bioinformatics and Pattern Discovery Group in the Deep Computing Group at IBM’s TJ Watson Research Center near New York City, and holds an appointment as Visiting Lecturer at MIT. His expertise includes parallel algorithm design and implementation, larg-scale computational genome annotation, and the application of pattern discovery to biological sequences for gene discovery, functional annotation, structure prediction, family predicate generation, antimicrobial peptide discovery and design, and RNA interference. He holds 14 US and international patents and is a consultant for US National Security Agency. Dr Rigoutsos developed the Bio-Dictionary, the equivalent of a natural-language dictionary for proteins; Teiresias, a deterministic, combinatorial algorithm for discovery of patterns in ordered and unordered event streams; and the standard signature-based clustering algorithm for 2D and 3D adaptive mesh refinement method for solving differential equations.
Professor Allen Rodrigo, The University of Auckland
Allen Rodrigo is Professor of Computational Biology and Bioinformatics at the University of Auckland, New Zealand, and was founding Director of the Bioinformatics Institute New Zealand, a joint initiative between The University of Auckland and AgResearch New Zealand. He is founding Editor of Applied Bioinformatics and of Evolutionary Biology Online, and holds a Universitas 21 Fellowship. His expertise is in computational evolutionary biology, with research interests in evolutionary genetics and the molecular evolution of rapidly evolving viruses.
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Created on 2004-12-14 11:55:43 by admin
Updated on 2007-12-10 09:55:50 by admin
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