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Member since November, 2013
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I always strive to be the best of what I can do to be of service to you. I am ready to be hired by you: * {Academic/Technical Writing} for meticulous and well-researched papers backed up with in-depth critical analysis * {Science and Math}: for science projects, mathematical problem sets, programming tasks * {Financial trading and markets}: for development of trading systems/algorithms which can be automated; extensive testing assured * {Editing and office-related tasks}: I have expert level skills with Excel, LaTeX, Matlab, and Mathematica, Powerpoint, Word, Keynote, Openoffice, etc.
$26 USD/hr
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Assistant Professor

Jun 2011

Department of Mathematics, School of Science and Engineering

Postdoctoral Fellow

May 2009 - Apr 2011 (1 year)

Did work on statistical physics of biological systems with Prof. Dr. Erwin Frey of the faculty of physics at the Ludwig-Maximilians-University in Munich, Germany.

Assistant Professor

Jun 2007 - Mar 2009 (1 year)

University of the Philippines (Diliman)


Postdoctoral Research

2009 - 2011 (2 years)

Ph.D. (Physics)

2004 - 2007 (3 years)


Humboldt Fellowship (2009)

Alexander von Humbolt Foundation (Germany)

Sponsored my postdoctoral research at the Ludwig-Maximilans-University in Munich, Germany for two years


Allelomimesis as a generic clustering mechanism for interacting agents

We show that allelomimesis is a generic mechanism that could explain why the cluster size distribution D (s) of diverse social aggregates such as animal groups and socio economic entities all fit into a power-law distribution: D (s)∝ s− τ, where τ is the critical exponent. Roughly, allelomimesis is the tendency of an agent to imitate the actions of its neighbors. A cellular automata model of allelomimesis yields a population-age distribution which is consistent with the assumption of evolutionary biologis

Cluster formation by allelomimesis in real-world complex adaptive systems

Animal and human clusters are complex adaptive systems and many organize in cluster sizes s that obey the frequency distribution D(s)∝s−τ. The exponent τ describes the relative abundance of the cluster sizes in a given system. Data analyses reveal that real-world clusters exhibit a broad spectrum of τ values, 0.7 (tuna fish schools) ⩽τ⩽4.61 (T4 bacteriophage gene family sizes). Allelomimesis is proposed as an underlying mechanism for adaptation that explains the observed broad τ spectrum. Allelomimesis is t

Self-organized pattern formation in a diverse attractive-repulsive swarm

A diverse, asynchronous swarm consisting of N mobile, attractive-repulsive particles evolves inside a two-dimensional confinement. Each particle k is characterized by a preferred neighboring distance ρk determined from a truncated normal distribution of mean \overline{\rho} and standard deviation σρ, for 0≤ρ<∞. Pairwise particle interaction is either attractive or repulsive depending on whether the distance between two particles is greater or less than ρk. The swarm forms self-organized metastable patter

Phenotypic plasticity stimulated by cooperation fosters pattern diversity of bacterial colonies

Colonies of flagellated bacteria on agar plates are known to take on diverse morphologies. A diffusion-reaction model is proposed for bacterial-colony pattern formation on a surface due to time scale separation between the slow mass migration of bacteria from the point of inoculation, and the fast, but localized, dynamics of bacterial phenotypic plasticity stimulated by public-goods cooperation and phenotypic switching. By considering two switchable phenotypes in the population, the model generates pattern


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