ד"ר ברוך ברזל

English שלחו לחבר
ראש מעבדת מחקר
טלפון
דוא"ל
baruchbarzel@gmail.com
משרד
בנין 901 חדרים 8,9
קורות חיים

Full CV: https://www.barzellab.com/cv

​EDUCATION

Ph.D.  Physics, Hebrew University of Jerusalem, Israel

M.Sc.  Physics, Hebrew University of Jerusalem, Israel


​CURRENT POSITIONS

Senior Lecturer   (Assist. Prof.) Bar-Ilan University, Mathematics Department, Israel

Core faculty member Bar-Ilan Data Science Institute​


​PREVIOUS POSITIONS

2016 Visiting Professor | Network Science Institute, Northeastern University, Boston, MA.

​2015 Visiting Professor | Network Science Institute, Northeastern University, Boston, MA.

​2013 –2014 Postdoctoral Research Associate | Channing Division of Network Medicine, Harvard Medical School, Boston, MA.

​2010 –2013 Postdoctoral Research Associate | Center for Complex Network Research, Northeastern University, Boston, MA.​


MAIN FELLOWSHIPS AND AWARDS

2019 Krill Prize for Excellence in Scientific Research, Wolf Foundation

2019 Rector Prize for Scientific Innovation

2018 Outstanding lecturer award

2017 - 2018 ERASMUS Plus grant for exchange of knowledge and travel

2007 - 2010 The Harry and Sylvia Hoffman Leadership & Responsibility Program

2007 Giulio Racah award for excellence in research, Israel

2005 - 2010 Outstanding teacher award (5 consecutive years), Hebrew University of Jerusalem ​

 

מחקר

RESEARCH

Dynamics of Complex Networks

Statistical physics is the theory of interacting particles, gases and liquids. Its way of thought, however, goes beyond the domain of material science. In a broader perspective it provides us with a bridge between the microscopic description of a system and its observed macroscopic behavior. With it we can track the way in which system-level phenomena emerge from the mechanistic description of the system’s interacting components. For instance how the blind interactions between pairs of magnetic spins lead to the seemingly cooperative phenomena of magnetism.


At CND we develop the statistical physics of complex systems: our interacting particles are not atoms or spins, but rather genes, proteins, animal species or humans. We track the way in which individual human interactions lead to the spread of ideas, perceptions and also diseases, or how biochemical reactions between proteins transfer information between cellular components. These systems defy many of the classic principles that are central to the way physics is traditionally done. The particles are self-driven and non-Newtonian, the interactions are nonlinear and the underlying geometry in random, highly irregular and non-localized. In two words – complex systems.


With these challenges at hand, we find that the dynamic behavior of these complex systems – social, biological or technological – can be predicted, analyzed and understood using the tools and way of thought of statistical physics.

פרסומים
PAPERS

The metastability of the double-tripod gate in insect locomotion

Eran Reches, Daniel Knebel, Amir Ayali and Baruch Barzel

iScience 12, 53

2019


Spatio-temporal propagation of signals in complex networks

Chittaranjan Hens, Uzi Harush, Reuven Cohen and Baruch Barzel

Nature Physics 15, 403

2019


Perfect synchronization in networks of phase-frustrated oscillators

Prosenjit Kundu, Chittaranjan Hens, Baruch Barzel and Pinaki Pal

Europhysics Letters,120, 40002

2018


Synchronization of chaotic systems - a microscopic description

Nir Lahav, Irene Sendiña Nadal, Chittaranjan Hens, Baruch Ksherim, Baruch Barzel, Reuven Cohen Havlin and Stefano Boccaletti

Physical Review E 98, 052204

2018


Patterns of information flow in complex networks.

Uzi Harush and Baruch Barzel

Nature Communications 8, 2181

2017


Universal resilience patterns in complex networks

Jianxi Gao, Baruch Barzel and Albert-László Barabási

Nature 530, 307

2016


Spectrum of controlling and observing complex networks

Gang Yan, Georgios Tsekenis, Baruch Barzel, Yang-Yu Liu, Jean-Jacques E. Slotine and Albert-László Barabási

Nature Physics 11, 779

2015


Constructing minimal models for complex system dynamics

Baruch Barzel, Yang-Yu Liu and Albert-László Barabási

Nature Communications 6, 7186

2015



Universality in network dynamics

Baruch Barzel and Albert-László Barabási

Nature Physics 9, 673-681

2013


Network link prediction by global silencing of indirect correlations

Baruch Barzel and Albert-László Barabási

Nature Biotechnology 31, 720-725

2013


Stochastic analysis of complex reaction networks using binomial moment equations

Baruch Barzel and Ofer Biham

Physical Review E 86, 031126-38

2012


Binomial moment equations for stochastic reaction systems

Baruch Barzel and Ofer Biham

Physical Review Letters 106, 150602-05

2011


Dimensional reduction of the master equation for stochastic chemical networks: The reduced-multiplane method

Baruch Barzel, Ofer Biham, Raz Kupferman, Azi Lipshtat and Amir Zait

Physical Review E 82, 021117-28

2010


Quantifying the connectivity of a network - The network correlation function method

Baruch Barzel and Ofer Biham

Physical Review E, 80, 046104-14

2009


Stochastic analysis of dimerization systems

Baruch Barzel and Ofer Biham

Physical Review E, 80, 031117-30

2009


Incorporation of stochastic chemistry on dust grains in the Meudon PDR code using moment equations

Franck Le-Petit, Baruch Barzel, Ofer Biham, Evelyne Roueff and Jacques Le-Bourlot

Astronomy and Astrophysics 505, 1153-1165

2009


Calculation of switching times in the genetic toggle switch and other bi-stable systems

Baruch Barzel and Ofer Biham

Physical Review E 78, 041919-26

2008


Simulations of water-ice formation on dust grains using moment equations

Baruch Barzel and Ofer Biham

In Proceeding of the International Workshop on Molecules in Space & Laboratory, Paris, France, (May 14-18, 2007). Eds.: J.L. Lemaire and F. Combes, 425-430

2007


Efficient stochastic simulations of complex reaction networks on surfaces

Baruch Barzel and Ofer Biham

Journal of Chemical Physics, 127, 144703

2007


Efficient simulations of interstellar gas-grain chemistry using moment equations

Baruch Barzel and Ofer Biham

Astrophysical Journal Letters, 658, L37-L40

2007


Evaluation of the multiplane method for efficient simulations of reaction networks

Baruch Barzel, Ofer Biham and Raz Kupferman

Physical Review E, 76, 26703-12

2007


Analysis of the multiplane method for stochastic simulations of reaction networks with fluctuations

Baruch Barzel, Ofer Biham and Raz Kupferman

SIAM Multiscale Modeling & Simulation, 6(3), 963-982

2007


CORRESPONDENCE

Response to comment on Network link prediction by global silencing of indirect correlations

Baruch Barzel and Albert-László Barabási

Nature Biotechnology 33, 339-342

2015


​Response to comment on Binomial moment equations for stochastic reaction systems

Baruch Barzel and Ofer Biham

Physical Review Letters 112, 088902

2014


BOOKS

Proceedings of the Third International Winter School and Conference on Network Science

2017

NetSci-X 2017 

Rami Puzis, Baruch Barzel and Erez Shmueli

Academic Press - Elsevier


Graph theory properties of cellular networks

2013

Handbook of Systems Biology – Concepts and Insights, Chapter 9.

Baruch Barzel, Amitabh Sharma and Albert-László Barabási

Springer Nature