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
- B. Sc. Computer Science, Federal University of Lavras (2009)
- M. Sc. Computer Science and Computational Mathematics, University of São Paulo (2012)
- Java Developer, Universo Online S.A. (UOL) (2012-2013)
Awards and Honors
- Sun Certified Java Programmer (SCJP), Sun Microsystems / Oracle (2009)
- Fellowship, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (2010)
- Fellowship, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) (2013)
- Fellowship, Science without Borders (2015)