My research interests revolve around Bayesian Inference, Deep Learning, and their combination. In the long term, my goals are: I) to extend the applicability of Bayesian inference under different conditions (e.g., distributed data, large scale, and uncertain observations); and II) promote pragmatism in Deep Learning methods, illuminating little-understood concepts and creating simpler models. Before joining EMAp, I obtained my PhD at Aalto University (Finland).

Areas of Interest: 

He holds a Bachelor's degree in Mathematics - Universidad de Buenos Aires (1971), a Master's degree in Mathematics - Stanford University (1979), and a Ph.D. in Mathematics - Stanford University (1981). Currently, he is a Senior Researcher III at the National Institute of Pure and Applied Mathematics (IMPA) and a Full Professor at the School of Applied Mathematics (EMAp) at Fundação Getúlio Vargas (FGV), focusing mainly on the topic of Optimization.

Areas of interest: 

• Continuous Optimization

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.

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.

Was Professor and Coordinator of institutions such as IBMEC, SENAI and Instituto INFNET. 

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: 

Associate Professor at FGV EMAp School of Applied Mathematics, FUNDAÇÃO Getúlio Vargas - FGV, Rio de Janeiro, Brazil. Previously he was an assistant professor at the San Pablo Catholic University and a research associate at the University of Washington. He obtained his Ph.D. in Computer Science from New York University, an M.S. in Computer Science from the University of São Paulo, and a B.E. in System Engineering from the National University of San Agustin. As part of his professional life, he worked in zAgile, Google, Kitware, Oak Ridge National Laboratory, and Xerox Research.

He has a degree in Computer Engineering (2007) from PUC-Rio, a master's degree (2009) and a doctorate (2014) in Computer Science also from PUC-Rio. Its main areas of activity are Software Engineering and Distributed Systems, focusing on: software quality, high performance computing (HPC), self-adaptive systems and recovery-oriented systems. Thiago is also a serial entrepreneur, developing startups and innovation projects over the last 12+ years.

Areas of interest: 

He is currently an Associate Professor at FGV EMAp since August 2023. He was an Assistant Professor (tenure-track) at Purdue University (USA) between January 2020 and July 2023. In 2019, he worked as a Research Associate at the University's Center for Mathematical Sciences from Cambridge (UK) in 2019 and between 2017 and 2019 he did postdoctoral work in Paris at the Center for Research in Economics and Statistics (CREST) at the École nationale de la statistique et de l'administration économique (ENSAE).

Associate Professor at FGV EMAp School of Applied Mathematics, FUNDAÇÃO Getúlio Vargas - FGV, Rio de Janeiro, Brazil. Previously he was an assistant professor at the San Pablo Catholic University and a research associate at the University of Washington. He obtained his Ph.D. in Computer Science from New York University, an M.S. in Computer Science from the University of São Paulo, and a B.E. in System Engineering from the National University of San Agustin. As part of his professional life, he worked in zAgile, Google, Kitware, Oak Ridge National Laboratory, and Xerox Research.

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.