CV

PDF version here

Education

  • 2016 – 2019: PhD in Signal Processing and Machine Learning, Inria Rennes, France.
    • Main themes: Sparsity-constrained optimization, Dictionary learning, Tensor methods.
    • Supervisor: Dr. Rémi Gribonval.
  • 2014 – 2016: MSc Electrical Engineering, UNICAMP, Brazil. GPA: 4/4.
    • Master thesis title: Learning Structured Dictionaries.
    • Supervisor: Dr. Renato R. Lopes.
  • 2010 – 2012: Engineering Cycle ÉCOLE POLYTECHNIQUE, Palaiseau, France.
    • Emphasis in Electrical Engineering.
  • 2008 – 2014: BSc Electrical Engineering, UNICAMP, Brazil.
    • GPA : 0,94/1. Class rank: 1st /84.

Experience

  • Postdoctoral Researcher, CNRS, Institut de Recherche en Informatique de Toulouse (from Jan 2020)
    • FACTORY ERC project - New paradigms for latent factor estimation.
    • Supervisor: Dr. Cédric Févotte.
  • Teaching Assistant, University of Rennes 1 (Sep 2018 – Dec 2018)
    • Object-oriented programming. Responsible for laboratory sessions in Java, 20h.
  • Digital Communications Research Engineer, Idea! Electronic Systems (Jan 2014 – Nov 2015)
    • Research, Development and Modeling of physical layer algorithms (equalization / synchronization / coding) for digital communication systems. Digital TV Demodulator (ISDB-Tb standard).
  • Design Engineer, LIP6 (Paris 6 Informatics Laboratory) (Feb 2013 - Jul 2013)
    • VHDL implementation of a multi-channel Ethernet Medium Access Controller (MAC), following the IEEE 802.3 standard.
  • Research Internship, LIP6 - System on Chip department (Apr 2012 - Aug 2012)
    • Multi-core computer architecture, cache coherence protocols. Modeling in SystemC .
    • Supervisor: Dr. Alain Greiner.
  • Undergraduate Internship, Schneider Toshiba Inverter Europe (Jul 2011 - Aug 2011)
    • Development of a cost estimation tool for Excel (using VBA routines) on a starting project of variable speed drives.
  • Teaching Assistant, UNICAMP (Mar 2009 – Aug 2009) / (Aug 2009 – Dec 2009) / (Aug 2013 – Dec 2013)
    • Office hours (8h/week) on: Digital circuits and systems / General Physics / Operations Research.

Recent publications

See my full list of publications here.

Other scientific activities

Workshops

  • SPARS : The Signal Processing with Adaptive Sparse Structured Representations workshop, July 2019, Toulouse, Portugal. Poster presentation.
  • GdR ISIS Seminar : “Nouvelles méthodes tensorielles et applications”, June 2019, Paris, France. Oral presentation.
  • SPARS : The Signal Processing with Adaptive Sparse Structured Representations workshop, June 2017, Lisbon, Portugal. Oral presentation.
  • GdR MIA Seminar : “Parcimonie et applications”, May 2018, Bordeaux, France. Oral presentation.

Summer schools

  • Peyresq Summer School in Signal and Image processing : “Signaux, images et science des données”, July 2018, Peyresq, France. 21h courses.
  • Structured Regularization for High-Dimensional Data Analysis, June 2017, Institut Henri Poincaré, Paris, France. 28h courses.
  • SpaRTan/MacSeNet SPARS Summer School, June 2017, Lisbon, Portugal. 18h courses.
  • SP Coding School, January 2015, Unicamp, Campinas, Brasil. 50h courses.

Event Organization

  • Journée Science et Musique (JSM), Oct 2017 / Oct 2018. Science vulgarization thematic day at Rennes university for the local community. Planned and managed the events costs and contracts.

Peer Reviewing

  • Journal : IEEE Transactions on signal processing;
  • Conferences : ICASSP; CAMSAP; SBrT.

Online Courses

  • Machine Learning (Stanford).
  • Introduction to Artificial Intelligence (Stanford).
  • Artificial Intelligence Planning (University of Edinburgh).
  • Fundamentals for Big Data (Mines-Télécom).
  • Control of Mobile Robots (Georgia Tech).
  • Internet History Technology ans Security (University of Michigan).
  • VLSI CAD Logic to Layout (University of Illinois).
  • Circuits and Electronics (MIT).

Other Skills

Software

  • Languages: Matlab, Python, Java, C, SystemC, VHDL, VBA (for Excel).
  • Tools: Git/SVN, LaTeX, Linux, Windows, Office.

Languages

  • English (advanced, 103/120 at TOEFL iBT),
  • French (fluent),
  • Portuguese (native).