I have experience in complex network data analysis during my PhD, using a broad set of tools of machine learning, probability, statistics, and graph theory. Specifically, I have been working in community detection and nestedness of bipartite ecological networks. This work has been published in prestigious journals such as PNAS, Nature ISME, etc. As part of my PhD work I have also released a Matlab library to help other scientists to analyze and visualize bipartite networks (http://bimat.github.io/), with already some research groups around the world using it. Computer Skills: Scala/Spark, Python (numpy, scipy, pandas, networkx, igraph), R, C/C++, shell scripting, HTML, Php (basic), Java (basic), SQL,

Analyst in Decision Sciences @ Just joined the Contextual Learning team. From November 2014 to Present (1 year) Greater Chicago AreaStudent @ Physics Graduate Student From August 2009 to August 2014 (5 years 1 month) Research Intern @ I was supervised by Dr. Drew Purves I Performed the first structural network analysis of food webs produced by the Madingley Simulation Model (http://www.madingleymodel.org/gallery.html) From January 2014 to April 2014 (4 months) Cambridge, United Kingdom

Doctor of Philosophy (PhD), Physics @ Georgia Institute of Technology From 2009 to 2014 Complex Systems Summer School @ Santa Fe Institute From 2013 to 2013 M.Sc., Intelligent Systems @ Tecnológico de Monterrey From 2006 to 2008 Diplôme d'ingénieur, Management des Systèmes d'information (Management information system) @ EPF Ecole d'Ingénieurs From 2004 to 2006 B.Sc., Physics Engineering @ Tecnológico de Monterrey From 2001 to 2006 Cesar Flores is skilled in: Matlab, Apache Spark, Scala, Machine Learning, Statistics, Complex Systems, Complex Networks, Graph Theory, Python, R, Algorithms, Mathematical Biology, Ecology, Algorithm Design, Meta-analysis, Community Ecology, Evolution, Mathematical Modeling, High Performance..., Stochastic Processes, Artificial Intelligence, Optimization, C++, Java, Applied Probability, C, C/C++ STL, Linux, SQL, UML, C#, PostgreSQL, MySQL, HTML, XML, Physics, LaTeX, Data Analysis, Graphs, Computer Science, Mathematica, Parallel Computing, Social Network Analysis