M.Sc. João Vitor Pamplona

Focus of work

Research

  • Optimization and Machine Learning in Data Science and Statistics

Projects

  • Optimized strategies for epidemic control in highly heterogeneous populations (OptimAgent)

Scientific career

since 2023Doctoral candidate at Trier University
2022M.Sc. in Numerical Methods in Engineering at the Federal University of Paraná
2020B.Sc. in Mathematics at the Federal University of Santa Catarina

Curriculum vitae

2023Member of the Society for Industrial and Applied Mathematics (SIAM)
2023Associated member of the graduate school Algorithmic Optimization (ALOP)
2022Member of the OptimAgent research group
2020-2022M.Sc. Numerical Methods in Engineering at the Federal University of Paraná
2016-2019B.Sc. in Mathematics at the Federal University of Santa Catarina

Conference presentations 

Pamplona, J. V. & Burgard, J. P.(2023): Fair Generalized Linear Mixed Models Based on Boosting. SIAM Conference on Optimization, Seattle, United States.

Pamplona, J. V. & Burgard, J. P.(2023): How to generate the German households. Modellierungsnetz für schwere Infektionskrankheiten, Berlin.

Pamplona, J. V. & Burgard, J. P.(2023): Fair Generalized Linear Mixed Models Based on Boosting. Statistische Woche, Dortmund.

Workshop participations

Autumn School on Model Reduction and Model Predictive Control with Differential Equations, 4-7, October 2022, Trier.

German SIAM Student Chapters Meet Algorithmic Optimization, 24-26, July 2023,Trier.