Leonardo Ferreira

I am a Ph.D candidate in University of São Paulo and a visiting predoctoral fellow in the Northwestern University. I have a bachelor degree in computer science from University of Lavras (2009) and a Masters degree in computer science and computational mathematics from the University of São Paulo (2012). After my BS I worked for a Brazilian web content company called Universo Online (UOL) that is the Brazilian largest internet portal. During this job, I had the opportunity to work with massive amount of data, more specifically with user tracking and behavioral targeting.

I chose to follow the tracks of research when I was introduced to machine learning and data mining techniques during my undergraduate. In my Masters degree I discovered the fascinating world of network science and I became very interested in complex networks, specially in graph mining problems. In my dissertation, I applied community detection algorithms in networks to solve the problem of huge sensor networks clustering focusing on decreasing the number of cluster heads nodes. In my Ph.D, I decided to merge two areas: time series data mining and graph mining. In other words, I wish to observe the benefits that network theory can bring to time series data mining.

I joined the Amaral Lab in November 2015 as a visiting scholar. During my visit I will be working on the analysis of Caenorhabditis elegans (C. elegans) movement. The idea is to apply data mining techniques to try to understand a little bit more of this nematode.

Personal Website: http://www.leonardonascimento.com