R. Hojimatov

Bishkek, Kyrgyzstan ยท ravshan.personal@gmail.com

My name is Ravshanbek Khodzhimatov and I am an economist. I am currently developing computer simulations of economies using agent-based approach. My research interests are complexity (agent interactions and emergent behavior), statistical learning, and numeric methods.


Senior Software Engineer

Entwicklerburg LLC

Took part in developing automated driver assistance software in C++. Led multiple web-development projects in Python and Go. Participated in creating architecture of projects and ensured high code quality standards. Led the automation efforts of our DevOps engineers --- wrote CI/CD scripts, added cross-platform support via CMake and Clang. Helped to set up the computer vision projects for real-time object detection.

Dec 2022 - present


Digital Age Research Center

Researching complexity economics. Modeling agent interactions and emergent phenomena in artificial societies. Developing optimization algorithms.

Oct 2019 - Oct 2022



Worked independently as an economic and statistical consultant, helped clients develop statistical algorithms.

Sep 2017 - Aug 2019

Data Scientist

Devoin SDS

Automated data mining processes, managed databases and website-backend, performed statistical analyses.

Jul 2016 - Jun 2017


Bogazici University

M.A. Economics

Thesis title: A welfare comparison of life-cycle investment strategies for Turkey

2015 - 2019

Bogazici University

B.A. International Trade
2011 - 2015


Programming Languages & Tools
  • C++


Controlling replication via the belief system in multi-unit organizations

Ravshanbek Khodzhimatov, Stephan Leitner, Friederike Wall

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A Comparative Analysis of Alternative Life-Cycle Investment Strategies for Turkey

Ravshanbek Khodzhimatov, Tolga Umut Kuzubaş, Burak Saltoğlu

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On the effect of social norms on performance in teams with distributed decision makers

Ravshanbek Khodzhimatov, Stephan Leitner, Friederike Wall

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Interactions between social norms and incentive mechanisms in organizations

Ravshanbek Khodzhimatov, Stephan Leitner, Friederike Wall

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Stata module for panel data generalization of cointegration regression using fully modified ordinary least squares, dynamic ordinary least squares, and canonical correlation regression methods Statistical Software Components S458447, Boston College Department of Economics.

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