GOOGLE NEW YORK, SOFTWARE ENGINEERING INTERN
June 2016 - September 2016
Worked with the local structured data team on large-scale distributed machine learning systems to improve coverage of menu URLs in Google Maps and local search (C++).
GOOGLE zÜrich, site reliability INTERN
June 2014 - August 2014
Developed a system for automated analysis of Borg time series in order to detect potential machine failures (C++).
GOOGLE LONDON, site reliability INTERN
February 2013 - August 2013
Developed an optimization system for microsharding in a large database (Python and C++). Achieved a 17% reduction on the 98th percentile extraction time.
ZÜHLKE ENGINEERING, SOFTWARE ENGINEER
September 2012 - January 2013
Contributed on the development of a tool to automate translation of legacy Fortran code into equivalent Java constructs.
APPLIED COMPUTATIONAL INTELLIGENCE LAB AT PUC-RIO, RESEARCH ASSISTANT
March 2010 - July 2011
Contributed on several software applications using intelligent algorithms such as neural networks and fuzzy logic systems (C#).
Email: gabrielaoptavares [at] gmail [dot] com
Address: Pasadena, CA
california INSTITUTE OF TECHNOLOGY
Ph.D. Computation and Neural Systems
Graduated June 2018
IMPERIAL COLLEGE LONDON
M.Sc. Logic and Artificial Intelligence
Graduated May 2013
PONTIFICAL CATHOLIC UNIVERSITY OF RIO DE JANEIRO
B.Eng. Computer Engineering
Graduated June 2011
Gabriela Tavares, Pietro Perona and Antonio Rangel. The attentional drift diffusion model of simple perceptual decision-making. Frontiers in Neuroscience, vol. 11, pages 468 (2017).
Gabriela Tavares and A. Aldo Faisal. Scaling laws of human broadcast communication enable distinction between human, corporate and robot Twitter users. PLOS ONE (2013).
Gabriela Tavares and Panos Parpas. On the information-based complexity of stochastic programming. Operations Research Letters, vol. 41, issue 6, pages 622–626 (2013).
Gabriela Tavares and Marco Aurélio Pacheco. A genetic algorithm applied to a main sequence stellar model. Proceedings of the 2011 Hybrid Artificial Intelligence Systems (HAIS) Conference, 2011. Springer Lecture Notes in Computer Science, vol. 6678, pages 32–42.