Holds a bachelor’s degree in Actuarial Science from the Federal University of Rio de Janeiro (UFRJ), and a master's degree and a DSc in Statistics from the same institution.  He has worked in the consulting industry as a Data Scientist (Accenture). His research focuses on applying (Bayesian) statistical methods to social and health sciences.visual analytics. His works includes interdisciplinary collaborations that focused on the development of novel visualization methods to enable both climate and urban data analysis.

Ingénieur Polytechnicien (bachelor degree) from École polytechnique - Paris (2006) and Master "Analyse, arithmétique et géométrie" from Ecole Polytechnique - Paris (2008) (joint master program with Université Paris-Sud XI and École Normale Supérieure). Double diploma in Applied Mathematics from Universidade Federal do Rio de Janeiro (2010). Obtained his PhD in July 2012 from Paris-Sud, under supervision of Julien Duval, on mean dimension and Brody curves, where he was also teaching assistant.

I worked as a database administrator for two decades, an experience that fueled research involving large volumes of data. In 2018, I presented a thesis at COPPE/UFRJ defending the possibility of inferring origin-destination matrices through mobile phone records. To prove this theory, I used a database of phone calls from 2014 to estimate daily matrices and reveal mobility patterns, both on normal days and in atypical situations, in the Metropolitan Region of Rio de Janeiro. Data from the 2010 Census were used to adjust for population expansion factors.

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. 

Holds a bachelor’s degree in Applied Mathematics (2007) and a master’s in Statistics (2010), both from the Federal University of Rio de Janeiro (UFRJ), and a PhD (2016) from University College London (UCL). He is currently an Assistant Professor at the School of Applied Mathematics (EMAp) of Fundação Getulio Vargas (FGV-RJ). He has worked in the financial industry for two and a half years, holding positions as Credit Risk Modeling Analyst (Itaú-Unibanco) and Market Risk Analyst (Credit Suisse Hedging-Griffo).

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: