I am a tenured scientific staff member
of the Biology Department, Brookhaven National Laboratory located on Long Island in New
My publication/citation record
from the ISI Web of Science can be found by following this link:
(roll over the icon for a quick
The detailed scientific track
record is in my Curriculum Vitae which I am trying to keep up to date.
To quickly search for my recent preprints on arxiv.org
you can follow
this link. Keep
in mind, however, that some
of my recent papers didn't make it to the arxiv.
The members of my research group are listed here.
Department of Biology, Brookhaven National Laboratory, Upton, New York,
Tel: +1-(631) 344-3742;
FAX: +1-(631) 344-3407
My recent Picasa albums can be found here.
Some older photos are stored here.
DOE Systems Biology Knowledgebase
I am a co-PI in the Department of Energy Systems
Biology Knowledgebase project (KBase) where I lead
a team of scientists from BNL, Cold Spring Harbor Laboratory, and
Yale University working on biomolecular networks and systems biology of
plants. In addition to Brookhaven KBase project involves scientists from
3 other national labs: Lawrence Berkeley, Argonne, and Oak Ridge. Kbase is an
emergent software and data environment designed to enable researchers to
collaboratively generate, test and share new hypotheses about gene and protein
functions, perform large-scale analyses on a scalable computing
infrastructure, and model interactions in microbes, plants, and their
communities. KBase provides an open, extensible framework for secure sharing
of data, tools, and scientific conclusions in predictive and systems biology
research is focused on selected topics in systems,
computational, and evolutionary biology with particular emphasis on
large-scale properties of complex biomolecular
networks. These networks operate inside living cells on multiple
levels including protein-protein binding interactions, transcriptional
regulation, signaling, metabolic reactions, etc. I am interested in a broad
range of questions including:
biological networks minimize the undesirable crosstalk and limit the
effects of non-specific interactions (PNAS
2008, PNAS 2007, NJP
2007, Science 2002)?
achieve robustness against noise and perturbations (PLoS
Comp Bio 2013, PNAS
2007, PRL 2008, Science
topological properties of these networks affect their functioning inside
living cells (PLoS
Comp Bio 2013, Nucleic Acids Research
Biol. 2007, BMC
Bioinformatics 2006, PRL
2004, Science 2002)?
bio-molecular networks and underlying genomes change in the course of
2013, NAR 2011, PLoS Comb Bio 2011,
PNAS 2009, JMB
2009, BMC Evol. Biol. 2004,
Nucleic Acids Research 2005, Biol.
Genome-scale networks involve interactions among 1000s of genes/proteins.
High-throughput experimental data describing these interactions are often
noisy and incomplete. Statistical physics with its emphasis on scaling laws,
general trends and correlations has many of the right tools to approach this
type of data. In addition to genome-scale network models I am also working on
detailed understanding of temporal dynamics of relatively small pathways (tens
of genes). For example, together with my collaborators I modeled the time
course of SOS response to UV-induced DNA damage in E. coli (PLoS Comp Bio
I am also
interested in emergent properties of large information
networks. These networks connect routers in the Internet, link
webpages, or scientific publications to each other, etc.
My recent research on information networks focused on the following topics:
In my studies I
often (but not always) use the tools of theoretical statistical physics.
Even more important than tools, physics taught me the power of simple models
in revealing the essence of complex phenomena. Simple
models are indispensable if one wants not just to reproduce the complexity of
a system (e.g. by a detailed computer simulations) but to truly understand
Before concentrating on complex
networks I worked on a variety of topics including (in reverse chronological
order) Econophysics, Low-dimensional
magnetism, and Self-Organized Criticality.