Matheus Secco Torres da Silva holds a PhD in Mathematics from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), where he conducted his research under the guidance of Professor Simon Griffiths. After completing a postdoctoral degree at the Czech Academy of Sciences in the Czech Republic, he worked in the financial market, working for Goldman Sachs and Giant Steps. He currently works at ASA Investments. His academic interests focus on the areas of Combinatorics and Probability.

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.

Associate professor at FGV-EMAp since November 2023. In 2002 he obtained a degree in Mathematics from the University of Lisbon, and a Master's degree in Mathematics in 2005 from the same institution. In 2008 he received his PhD in Mathematics from the Université Paris 6 - Pierre et Marie Curie (today the Sorbonne Université). From 2008 to 2013 he was a Postdoctoral Fellow and Researcher "Ciência 2008" at the Center for Mathematics and Fundamental Applications at the University of Lisbon, and in 2013 he joined the Federal University of Rio de Janeiro as a Professor.

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.

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.

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