Hi, my name isAleksejus Kononovicius. I am working as a senior researcher atInstitute of Theoretical Physics and Astronomy (Faculty of Physics,Vilnius University). My research interests are stochastic and agent-based modeling, complex systems, Econophysics, Sociophysics, Statistical Physics and Data Science.

I use GitHub primarily to share data and source code related to my research. I also use GitHub to store contents of thePhysics of Risk blog.

Currently, I am using programming for scientific purposes as well as to facilitate everyday interactions with my computers (most of which run somekind of Linux distribution).

For scientific calculations I tend to rely on Python (for quick empirical analysis and model prototyping), numba library or C (for "heavy" calculations) and JavaScript (for interactive web models and complicated calculations requiring object oriented design). Sometimes, mostly for algebraic manipulations, I rely on Mathematica (Wolfram Engine). Although I try to replace it with sympy library.

In everyday usage I rely on shell (mostly Bash) scripting and Python.

Actively using: Python (numpy, matplotlib, pandas, scipy, numba, sympy, pymc3), C (GNU Scientific Library), JavaScript (Node.js, jQuery, plotly, d3, Leaflet, TypeScript), Mathematica (Wolfram Engine).

Markup languages: LaTeX, Markdown, HTML, CSS.

Used in the past: Java, PHP, SQL, Matlab, GNU Octave, Object Pascal.

Got familiar with: R, Maple, Mathcad, SPSS, PostScript, SVG.

• Personal website
• Physics of Risk blog
• Google Scholar
• Research Gate

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1. physrisk/website-sourcephysrisk/website-sourcePublic

   Source files used to generate Physics of Risk website.

   JavaScript 4 1

2. arfimaarfimaPublic

   Python implementation of ARFIMA process with an aim to simulate series.

   Python 20 4

3. lithuanian-parliamentary-election-datalithuanian-parliamentary-election-dataPublic

   A repository of cleaned up Lithuanian parliamentary election voting data

   Python 2

4. compartmental-voter-modelcompartmental-voter-modelPublic

   Implementation of the compartmental voter model

   C 2

5. fgn-generator-gslfgn-generator-gslPublic

   Fractional Gaussian noise generator implemented in C using GSL

   C 2 1

6. poll-delayed-noisy-voter-modelpoll-delayed-noisy-voter-modelPublic

   Python implementation of the noisy voter model with poll-induced delays.

   Python 1