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  • member
  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
  • Administrative Staff
  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Full Professor
  • Graduate Student
  • Lab assistant
  • Non-permanent Researcher
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
  • Group Leader
  • Head of Facility
  • Head of Structure
  • Honorary President of the Departement
  • Labex Coordinator
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About

I have a Bachelor in Computer Science from the Federal University of Rio de Janeiro (UFRJ) and a M.Sc. in Computer Science from the Systems Engineering and Computer Science Program also from UFRJ. This program is ranked as the number one computer science graduate program in Brazil. I have a PhD in Biosciences and Biotechnology at Carlos Chagas Institute / Fiocruz supervised by Dr. Paulo Costa Carvalho and Dr. Fabio Cesar Gozzo. We have developed a search tool, called SIM-XL, to work with complex scenarios of cross-linked peptides for aiding in structural proteomics or protein-protein interactions studies. Currently, I’m a Post-doctoral Fellow at Institut Pasteur – Paris, under the advisement of Julia Chamot-Rooke in Mass Spectrometry for Biology Unit and I’m working as Computational Biologist developing algorithms to analyze the data using the top-down approach.

I have experience in Proteomics Data Analysis and Quantitative Mass Spectrometry, Structural Mass Spectrometry, Natural Optimization (e.g., Genetic Algorithms, Particle Swarm Optimization, Ant Colony Optimization, Simulated Annealing), Statistical Classifiers (e.g., Support Vector Machines, Bayesian Classifiers etc.), Artificial Neural Networks (e.g., Feed Forward with back propagation), Statistical Inference and advanced experience in Java, C#, C++, and Web Services.