Los Alamos National Laboratory. Bioscience Division +1 (505) 665-5268 +1 (505) 665-3024 chris you know what santafe dot edu

Education:

view complete Résumé (Aug. 2006)

Undergraduate Education:

B.S. in Chemistry, University of Vienna, Austria in 1986

B.S. in Astronomy, University of Vienna, Austria in 1989

M.S. in Chemistry, Inst. of Theor. Chem., Univ. of Vienna, Austria in 1990:

"Dynamics of Autocatalytic Reaction-Mutation-Networks"

Ph.D. in Science, Theor. Biochem. Group, Univ. of Vienna, Austria in 1993:

"Chaotic Behavior of Reaction Networks"

PostDoc studies:

University of Technology, Vienna, Austria, April 1993 - Aug. 1993

Institute of Molecular Biotechnology (IMB), Jena, Germany,

Sept. 1993 - March 1994

Group Leader "Dynamics of Molecular Evolutionary Processes"

Department "Molecular Evolutionary Biology" at the IMB,

April 1994 - Sept. 1997

Research Associate at the Beckman Institute

University of Illinois at Urbana-Champaign, Nov. 1997 - Oct. 1999

Staff Member at the Los Alamos National Laboratory

Bioinformatics Team Leader, Manager of the STD Database, Nov. 1999 - Oct. 2001

Complex Biosystems, Nov. 2001 -

Invitations:

Santa Fe Institute, Santa Fe, NM, Oct. 1995

Santa Fe Institute, Santa Fe, NM, July 1997

Institute for Theoretical Biology

Humboldt University, Berlin, Germany, Oct. 1997

Research Interests:

Systems Biology / Network Genomics:

Comparative Network Analysis

This research facilitates detailed information of completely

sequenced microbial genomes. Here annotated functional genes are

embedded in a metabolic network. For this purpose I developed a

method that that extends conventional phylogenetic analysis

of individual enzymes in different organisms to the organisms'

metabolic networks (FORS99B).

Response-Network Analysis

Recent studies include the identification of expressed

sub-networks in cellular networks of M. tuberculosis. Metabolic

network data is combined with protein-protein interaction

information and genome context data to reconstruct a cellular

network. Together with gene-expression information in combination

of graph-theoretical approaches particular sub-networks are

identified that are cellular responders to the experimental

conditions measured in the gene-expression experiment.

Employing Gene-Context

In addition to network studies gene context, such as

co-occurring genes, gene-clusters, gene-fusion events and

operon conservation has been employed for high-level annotation

and analysis of genomes. Of special interest is the close

relationship between operon-conservation and network-similarity

that I have studied in the case of the tryptophan/serine

biosynthesis network (FORS2001).

Theory of Molecular Evolution:

Darwinian Evolution:

Describing dynamics of evolving biopolymers, e.g. as in experiments

related to irrational drug design.

Critical parameters such as an optimal error-rate and a phenotypic

error-threshold are observed.

Evolution of Interaction:

Exploration of (large) reaction networks by a population with distinct,

partly neutral, genotype -- phenotype relationsship.

Evolution towards higher organization; stability of complex organization.

Development of genetic compartimentation; emergence of individuality.

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