I am a tenured scientific staff member of the Theory Group, at the Department of Condensed Matter Physics, Brookhaven National Laboratory located on Long Island in New York. My publication/citation record
from the ISI Web of Science can be found by following this link: (roll over the icon for a quick peek). 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. Some of my recent more biological papers didn't make it to arxiv. The members of my research group are listed here. Work address:Department of
Condensed Matter Physics and Materials Science, Brookhaven National Laboratory, Upton, New York,
11973 Home address:
40 Suffolk Down, Shoreham, New York, 11786 Photos:My recent Picasa albums can be found here. Some older photos are stored here.
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Research interests:
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How biological networks minimize the undesirable crosstalk and limit the effects of non-specific interactions (MSB 2008, PNAS 2007, NJP 2007, Science 2002)? |
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How they achieve robustness against noise and perturbations (PNAS 2007, PRL 2008, Science 2002)? |
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How topological properties of these networks affect their functioning inside living cells (Nucleic Acids Research 2005, Phys. Biol. 2007, BMC Bioinformatics 2006, PRL 2004, Science 2002)? |
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How bio-molecular networks and underlying genomes change in the course of evolution (PNAS 2009, JMB 2009, BMC Evol. Biol. 2004, Nucleic Acids Research 2005, Biol. Direct 2007)? |
Understanding complex biomolecular networks is an essential part of systems biology defined as "a comprehensive, quantitative analysis of the manner in which all components of a biological system interact functionally over time" (Aderem, Cell 2005) .
Systems biology involves modeling on two scales:
| Detailed dynamical modeling of small pathways (<10 genes). For example my collaborators and I modeled the time course of SOS response to UV-induced DNA damage in E. coli (PLoS Comp Bio 2007). |
| "Network biology" investigating interactions among 1000s of genes/proteins. Experimental data are often noisy and incomplete - connection to statistical physics through study of scaling laws, general trends and patterns, correlations. |
I worked on both levels of systems biology with recent detours into genomics and evolutionary biology.
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:
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How to detect functional units or modules/communities in complex information (or biomolecular) networks (PRL 2003, Physica A 2004, Physica A 2007)? |
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How to efficiently search and rank the information contained in large networks (J. of_Stat_Phys 2007, J. of Neuroscience 2008, J. of Informetrics 2007, Physica A 2007, PRL 2001)? Together with my graduate students and collaborators from BU I recently proposed a new algorithm (CiteRank) ranking scientific publications by their relevance to current research directions. If interested, here you could look up the ranking of any paper published between 1893 and 2003 in any of American Physical Society journals (PR, PRL, PRB, PRC, PRD, PRE, Reviews of Modern Physics, etc.). |
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
it.
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.
This page was last updated on April 14, 2010