WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Helder Nakaya
PeerJ Editor, Author & Reviewer
935 Points

Contributions by role

Author 270
Reviewer 65
Editor 600

Contributions by subject area

Bioinformatics
Epidemiology
Public Health
Computational Biology
Parasitology
Infectious Diseases
Computational Science
Molecular Biology
Cardiology
Data Mining and Machine Learning
Gastroenterology and Hepatology
Immunology
Oncology
Medical Genetics
Genetics
Genomics
Data Science
Drugs and Devices
Hematology
Artificial Intelligence
Computer Vision
Algorithms and Analysis of Algorithms
Optimization Theory and Computation
Theory and Formal Methods

Helder Nakaya

PeerJ Editor, Author & Reviewer

Summary

Prof. Helder Nakaya is Deputy Director of School of Pharmaceutical Sciences at University of São Paulo, Brazil, Associate Professor at University of São Paulo, Brazil, and Adjunct Professor of the School of Medicine, Emory University, USA. He has a PhD in Molecular Biology with extensive training in Bioinformatics. He is an expert in Systems Vaccinology, an interdisciplinary field that combines systems-wide measurements, networks, and predictive modelling in the context of vaccines and infectious disease. Dr. Nakaya has developed systems biology approaches to understand and predict the mechanisms of vaccine induced-immunity for Yellow Fever, seasonal Influenza, Meningococcal, and Tularemia vaccines. His lab is focused on investigating the basis of infectious diseases using computational systems biology.

Bioinformatics Cardiology Computational Biology Computational Science Data Mining & Machine Learning Molecular Biology

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences
PeerJ Computer Science

Past or current institution affiliations

Universidade de São Paulo

Work details

Associate Professor

Universidade de São Paulo
November 2013
Department of Clinical and Toxicological Analyses
School of Pharmaceutical Sciences

Identities

@CSBL1

Websites

  • PubMed Search
  • Google Scholar
  • CSBL

PeerJ Contributions

  • Articles 2
  • Edited 3
  • Reviewed 1
July 11, 2022
Tucuxi-BLAST: Enabling fast and accurate record linkage of large-scale health-related administrative databases through a DNA-encoded approach
José Deney Araujo, Juan Carlo Santos-e-Silva, André Guilherme Costa-Martins, Vanderson Sampaio, Daniel Barros de Castro, Robson F. de Souza, Jeevan Giddaluru, Pablo Ivan P. Ramos, Robespierre Pita, Mauricio L. Barreto, Manoel Barral-Netto, Helder I. Nakaya
https://doi.org/10.7717/peerj.13507 PubMed 35846888
May 27, 2022
Automatic detection of the parasite Trypanosoma cruzi in blood smears using a machine learning approach applied to mobile phone images
Mauro César Cafundó Morais, Diogo Silva, Matheus Marques Milagre, Maykon Tavares de Oliveira, Thaís Pereira, João Santana Silva, Luciano da F. Costa, Paola Minoprio, Roberto Marcondes Cesar Junior, Ricardo Gazzinelli, Marta de Lana, Helder I. Nakaya
https://doi.org/10.7717/peerj.13470 PubMed 35651746

Academic Editor on

July 3, 2025
Improving Gaussian Naive Bayes classification on imbalanced data through coordinate-based minority feature mining
Wei Wang, Li Yan, Fen Liu, Yanxi Li
https://doi.org/10.7717/peerj-cs.3003
September 9, 2022
A retrospective study of real-world effectiveness and safety of rivaroxaban in patients with non-valvular atrial fibrillation and venous thromboembolism in Saudi Arabia
Hind M. Alosaimi, Saeed Alqahtani, Bander Balkhi, Mishari Alqahtani, Faisal Alzamil, Abdulaziz Alhossan, Fatmah S. Alqahtany, Abdullah A. Alharbi, Nawaf Abdullah Alqahtani, Hanan Albackr, Ghada Elgohary, Farjah H. Algahtani
https://doi.org/10.7717/peerj.13974 PubMed 36105646
August 12, 2021
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets
Marcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, Bruno César Feltes, Eduardo Avila, Alessandro Kahmann, Clarice Sampaio Alho
https://doi.org/10.7717/peerj-cs.670

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

April 3, 2023
Inference of differentially expressed genes using generalized linear mixed models in a pairwise fashion
Douglas Terra Machado, Otávio José Bernardes Brustolini, Yasmmin Côrtes Martins, Marco Antonio Grivet Mattoso Maia, Ana Tereza Ribeiro de Vasconcelos
https://doi.org/10.7717/peerj.15145 PubMed 37033732