JULIÁN CHITIVA

Economist, mathematician, and MA in Economics from Universidad de Los Andes. Currently he is a PhD student at HEC Paris. As a mathematician, he is interested in combinatorics, geometry, statistics, game theory, optimization, and finance. As an economist, he is interested in network theory, information economics, and contract theory.

In Quantil, he has been part of projects for risk quantification, optimization of transport networks, demand estimation, and forecasts with data mining methodologies, among others. In addition, he has been a professor in the courses of real analysis for economists and Python workshop at the faculty of economics at Universidad de Los Andes. Moreover, he has taught introductory courses to data analysis in Python, introduction to data analysis in R, and Financial Time Series Analysis in Continuing Education at Universidad de Los Andes. He has worked as a research assistant at the Center for Studies on Economic Development CEDE of the Universidad de Los Andes. He has experience handling quantitative tools and statistical packages such as Python, R, Matlab, Julia and Stata.

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