Fernando Chirigati

Doctoral Candidate & Research Assistant

NYU Tandon School of Engineering
CSE Department
2 MetroTech Center, 10th floor
Brooklyn, NY 11201
fchirigati [at] nyu [dot] edu

About Me

Currently, I'm a Ph.D. candidate at NYU Tandon School of Engineering, under the supervision of Prof. Juliana Freire and Prof. Cláudio Silva. I came to the beautiful - and very busy - city of New York in January 2012. Before, I was working as a Research Assistant at Federal University of Rio de Janeiro (UFRJ), under the supervision of Prof. Marta Mattoso. I have a B.E. from UFRJ, in Computer and Information Engineering.

I come from the gorgeous city of Petrópolis, in Brazil, where almost all my family and friends still reside. I had the opportunity to study in Rio de Janeiro, the "Marvelous City", where I not only made a lot of good friends, but also started working with research in the database area.

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Research Interests and Projects

My research interests are mainly in the area of scientific data management: provenance management and analytics, large-scale data analysis, reproducibility, and data visualization.

Some of the projects on which I'm currently working are:

  • Urban Data Analytics: Understanding the urban environment by efficiently analyzing the numerous interactions among large spatio-temporal urban data (e.g.: Data Polygamy).
  • Reproducibility in Science: Infrastructure to facilitate the creation, reuse, and sharing of reproducible computational experiments (e.g.: ReproZip, noWorkflow).

I am also Reproducibility Editor for the Information Systems Journal, Elsevier North-Holland.

Past projects:

Awards and Honors

  • Honorable Mention, SIGMOD 2017 Best Demonstration Award: our demo Querying and Exploring Polygamous Relationships in Urban Spatio-Temporal Data Sets received a honorable mention (8 out of 31 demos).
  • SIGMOD 2017 Most Reproducible Paper Award: our paper Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets was selected one of the most reproducible papers across several criteria of the SIGMOD 2016 papers.
  • SIGMOD 2017 Student Travel Award
  • Pearl Brownstein Doctoral Research Award: Doctoral research that shows the greatest promise, given by NYU Tandon School of Engineering, in 2016.
  • 2nd Place in the SIGMOD 2014 Programming Contest: Our team - ViDA team, together with Tuan-Anh Hoang-Vu, Kien Pham, and Huy T. Vo - got 2nd place out of 91 teams, given by SIGMOD, in 2014.
  • Deborah Rosenthal, MD Award: Outstanding performance on the Ph.D. qualifying examination, given by NYU Tandon School of Engineering, in 2014.
  • A3P Special Honor: Outstanding performance achieved at the Polytechnic School of the Federal University of Rio de Janeiro, given by the Alumni Association of the Polytechnic School (A3P) at the Federal University of Rio de Janeiro, in 2013.
  • Magna Cum Laude Honor: Outstanding performance achieved in Computer and Information Engineering, given by the Federal University of Rio de Janeiro, in 2013.
  • Research Honor: Given by the Academic Deliberative Council of the Graduate Department of Engineering (COPPE) at Federal University of Rio de Janeiro, Brazil, in 2010.
  • Best Poster Award: Desenvolvimento de Estruturas de Controle Explícito para o SGWfC VisTrails, XXIV Brazilian Symposium on Databases (SBBD), in 2009.
  • Honorable Mention: TOP10 presentation among more than 500 presentations in the XXXI Conference on Young Research Assistant, at Federal University of Rio de Janeiro, Brazil, in 2009.

Freely-Available Software Systems

  • ReproZip: ReproZip is a tool that automatically captures provenance of experiments and packs all the necessary files, library dependencies, and variables to reproduce the results. Reviewers can then unpack and run the experiments without having to install any additional software.
  • noWorkflow: noWorkflow is a tool that can transparently capture detailed provenance information from Python scripts. It is non-intrusive, does not require users to change the way they work, and provides different ways to analyze the captured provenance.