1995: B.S./M.S. in Physics, University of Barcelona
1998: Ph.D. in Physics, University of
Barcelona
Appointments
1996-1998: Predoctoral Research Fellow, Department of
Fundamental Physics, University of Barcelona
1998-2000: Postdoctoral Research Fellow, Departments of
Physics
and Molecular Biology, Princeton University
2000-2001: Research Associate, Howard Hughes Medical Institute,
Department of Molecular Biology, Princeton University
2001-2003: Postdoctoral Associate, The Rockefeller University
2003-2004: Visiting Investigator, Memorial Sloan-Kettering Cancer
Center
2004-2008: Assistant Member & Head of Laboratory,
Computational Biology Program, Sloan-Kettering Institute, Memorial
Sloan-Kettering Cancer Center
2005-2008: Assistant Professor of Physiology,
Biophysics, and Systems Biology, Weill Graduate School of Medical
Sciences, Cornell University.
2008-Present: Ikerbasque Professor, Department of Biochemistry
and
Molecular Biology, University of the Basque Country
Research
The traditional experimental approach to the study of the functioning
of cells has been remarkably successful at identifying cellular
components and their interactions. Current automated technologies have
brought the cartoon-like representations of cellular processes to
exponentially growing webs of nodes and links that seem as close to
completion as ever. The complexity of the emerging picture, however,
makes it clear that all this information by itself is not enough to
truly understand processes such as cancer. In order to piece back
together all the genetic, biochemical, molecular, and structural
information into a physiologically relevant description of the cell,
one needs "constructive" methods. Computational modeling has emerged as
a promising tool for transforming molecular detail into a more
integrated form of understanding complex behavior.
We use computational and mathematical modeling to study biological
networks that are relevant to cancer. We are interested, not only in
the interactions between cellular components, but also in the resulting
cellular behavior and its integration into the physiological context of
an organism. We study computationally how mutations affect the
molecular properties of the cellular components; how the mutated
components affect different pathways; and how these modified pathways
confer cell-growth advantages during tumor progression and metastasis.
Having a global view of all these processes and their effects through
all relevant levels of biological organization is crucial to identify
and characterize the key control elements of the system.
We are currently working on:
Gene regulation (RXR and other nuclear hormone receptors)
Signal transduction (EGF and TGF-β pathways)
Control of cell growth and death (Bcl-2/Bax in metabolism and
apoptosis)
We are also developing new computational approaches to determine,
capture, and use the relevant biological information. We are especially
interested in stochastic analyses and in multilevel and multiscale
methods.
J.
M. G. Vilar
and J. M. Rubí, Scaling
of
Noise and Constructive Aspects of Fluctuations, in Lecture
Notes in Physics:
"Stochastic Processes in
Physics", J.
Freund and T. Pöschel, eds., Springer
Verlag (Berlin, Heidelberg 2000),
Vol. 557:
pp. 121-130 (2000).
Books
D.
Reguera, J.
M. G. Vilar, and J. M.
Rubí
(eds.), Statistical Mechanics of
Biocomplexity, Lecture Notes in Physics
(Springer Verlag,
Berlin 1999).
Stochastic
Dynamics of
Macromolecular-Assembly Networks. Systems Biology
Discussion Group, New York Academy of Sciences, November 2005, New York
(New York).
Stochastic Dynamics of
Macromolecular-Assembly Networks. ISQBP Gilda Loew
Memorial Meeting, October 2005, Staten Island (New York).
Mechanisms
of Noise-resistance
in Genetic Oscillators. SIAM Conference on the Life
Sciences, July 2004, Portland (Oregon).
Mathematical
analysis of gene
circuits. Conference on Mathematical Modelling of Plant Development and
Gene Networks, University of Warwick, May 2004,
Coventry (United Kingdom).
Modeling the Networks
of the
Cell: Molecular, Cellular, and Population Levels. Workshop on
Biological Information and Statistical Physics, July 2003, Dresden
(Germany).
Modeling Noise, Switches and
Clocks. Workshop on Dynamics, Adaptation and Fluctuations in
Bio-networks, KITP, University of California, March 2003, Santa Barbara
(California).
Noise in the cell: from
molecular mechanisms to populations via network design. Annual
American Physical Society March Meeting, March 2002,
Indianapolis (Indiana).
Networking with noise at
the
molecular, cellular, and population level. Gordon Research
Conference on Bioinformatics: From inference to Predictive Models,
August 2001, Tilton (New Hampshire).
Modules of
modules: from
molecular interactions to cell populations. Workshop on Design
and Control of Biochemical Networks, June 2001, Leiden (The
Netherlands).
Ordering Periodic Spatial
Structures by
Noise. Workshop on Fluctuations Far From Equilibrium: Noise
Induced Transport, April 1998, Dresden (Germany).