Meus interesses de pesquisa revolvem em torno de Inferência Bayesiana, Deep Learning, e a combinação dos anteriores. A longo prazo, meus objetivos são: I) estender a aplicabilidade de inferência Bayesiana sob diferentes condições (e.g., dados distribuídos, larga escala, e observações incertas); e II) promover o pragmatismo em métodos de Deep Learning, iluminando conceitos pouco compreendidos e criando modelos mais simples. Antes de me juntar à EMAp, eu obtive meu doutorado na Aalto University (Finlândia).

ÁREAS DE INTERESSE: 

Possui Graduação em Matemática - Universidad de Buenos Aires (1971), Mestrado em Matemática - Stanford University (1979) e Doutorado em Matemática - Stanford University (1981). Atualmente é Professor Titular da Escola de Matemática Aplicada (EMAp) da FGV do Rio de Janeiro, onde ingressei em 2022. E pesquisador titular III do Instituto Nacional de Matemática Pura e Aplicada.  

ÁREAS DE INTERESSE: 

• Otimização Contínua

Dário Oliveira received his B.Sc. degree in electrical engineering from the Rio de Janeiro State University (UERJ) in 2007, with a Computer and Systems specialization. In 2009, he received his M.Sc. degree in electrical engineering with emphasis on Image Analysis and Computer Vision from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), developing part of his M.Sc. research at the Instituto Superior Técnico, Lisbon, Portugal. He received his Ph.D. degree from Puc-Rio in 2013, doing part of his Ph.D. research at the Leibniz University of Hannover, Germany.

rafael.pinho@fgv.br

Graduated in Computer Engineering (2004), Master in Computer Engineering: Computer Networks and Distributed Systems and Doctor in Computer Engineering: Human-Computer Interaction from the Pontifical Catholic University of Rio de Janeiro.

Specialist in Mathematics: Cryptography from Universidade Federal Fluminense and Specialist in Software Project Management from the Pontifical Catholic University of Rio de Janeiro.

Has a Microbiology and Immunology's degree (2012) from the Federal University of Rio de Janeiro (UFRJ), and a Evolutionary Biology's PhD (2018) from the University of Edinburgh, UK.

Interested in (Bayesian) statistics applied to the biosciences, working in the following areas: Markov Monte Carlo chains (MCMC) for discrete spaces; methods of combining probability distributions; statistical modeling in Epidemiology, Medicine, Genetics and related areas.

Areas of interest: 

Holds a bachelor’s degree in Biology from the Federal University of Rio de Janeiro (1992), a master's degree in Biomedical Engineering from the Federal University of Rio de Janeiro (1995) and PhD in Quantitative Biology from the University of Texas at Arlington (1999). He was associate professor at the State University of Rio de Janeiro (2001-2003) and Visiting Researcher at Fundação Oswaldo Cruz (2003 to 2008). Flávio was a postdoctoral researcher at the Gulbenkian Institute of Science, in Portugal, between 2008 and 2010.

Holds a bachelor’s degree in Computer Science from UFRJ (2001), a master’s in Computer Science from UFF (2005) and PhD from PUC-Rio (2010). During his doctorate, he did research internships at Microsoft Research (2008), and at SRI International (2009). His research areas include: logics,  knowledge representation, computational linguistics, computer theory, and formal methods..

I am a full professor at the School of Applied Mathematics (EMAp) at FGV in Rio de Janeiro since 2020. I obtained my doctorate in Computer Science in 2002 from the University of Toronto, with a specialization in Machine Learning under the guidance of Geoffrey Hinton. Between 2002 and 2006, I did postdoctoral studies in Computational Biology, first in the laboratory of Mansoor Saqi at Queen Mary University of London, and then in the laboratory of Mark Gerstein at Yale University.

He holds a doctorate in Business Administration from FGV EBAPE, a master's degree in Administration from the Federal University of Rio de Janeiro (1996), a degree in Mechanical Engineering from the Military Engineering Institute (1987) and in Mathematics from the University of Rio de Janeiro (1991). He is currently a professor at FGV EMAp. Experienced in the areas of marketing and retail and his areas of interest include quantitative methods in management science.

Areas of interest: 

Holds a bachelor's and a master's degree in Informatics and Applied Mathematics from ENSIMAG (2000 and 2001), a master's degree in Optimization and Statistics from Joseph Fourier University (2001) and a PhD in Applied Mathematics from Joseph Fourier University (2005). He is currently a professor at FGV. Before joining FGV (in 2012), he was a postdoctoral fellow at UJF (2005) and IMPA (2006-2009) and professor at PUC-Rio (2009-2012) and UFRJ (2012). His research is focused on the development of models and algorithms for optimization problems under uncertainty.