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Romulo Brito is listed as Ph.D. Senior Researcher - Foundation for Support to the Development of Scientific Computing (FACC) | LENEP/UENF - State University of North Fluminense at 7D Analytics, a company with 10 employees, based in Assis, São Paulo, Brazil. AeroLeads shows a work email signal at uva.br and a matched LinkedIn profile for Romulo Brito.
Romulo Brito previously worked as Data-Driven Modeling | Mathematical optimization specialist at 7D Analytics and Postdoctoral Fellow at Cnpq. Romulo Brito holds Pós-Graduação Lato Sensu - Especialização Data Science, Ciência De Dados E Analytics from Cce - Puc-Rio.
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Bachelor in Mathematics from the Fluminense Federal University (2009), Master in Applied Mathematics from the Pontifical Catholic University of Rio de Janeiro (2013), and Ph.D. in Complex Systems Analysis from the Graduate Program in Informatics (PPGI) of the Mathematics Institute of the University Federal District of Rio de Janeiro (2017). I am interested in Data-driven models of physical information (data-driven models informed by physics), signal analysis, and signal processing - Compressive Sensing. I taught mathematics subjects for more than 5 years for the basic engineering cycle. I worked as a senior researcher in the CLT regime by the Foundation for Supporting the Development of Scientific Computing (FACC) in the experimental development project of Physical and Petrophysical Modeling applied to the characterization and seismic monitoring of reservoirs (MODFISPET) linked to the Engineering Laboratory and Oil Exploration - LENEP/UENF. I was responsible for developing and implementing Python solutions applied to inverses problems in seismic, aiming at software that promotes the reduction of operational and computational costs through Compressive Sensing techniques. I developed algorithms to optimize geometries of seismic acquisition, which met the subsampling criteria of compressive sensing and according to seismic requirements. I currently work as a consultant in the area of mathematical modeling and optimization at 7D analytics to help decision-making in the most diverse areas of the industry.
Listed skills include Matlab, C++, Microsoft Powerpoint, Microsoft Excel, and 10 others.
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São Paulo, Brasil
Responsible for research, mathematical and computational modeling of optimization problems, exploratory data analysis projects, including topic analysis and Natural Language Processing (NLP) techniques such as Retrieval-Augmented Generation (RAG). I have also been involved in implementing machine learning (ML) and deep learning (DL) pipelines.
Presidente Prudente, São Paulo, Brasil
Signal Processing and Machine Learning for the Reconstruction of Spatio-Temporal Dynamics with Compressed Sensing
São Paulo, Brasil
Carrying out sensitivity analysis of the inversion problem, based on the construction of implicit subsurface limits using defined level-set functions, as well as the implementation of a code to solve the inverse problem and solve basic problems so that a critical analysis can be carried out of the results. In addition, issues related to method improvement.
Macaé, Rio De Janeiro, Brasil
I worked as a Senior Researcher at LENEP/UENF on the experimental development project of physical and petrophysical modeling applied to reservoir seismic characterization and monitoring. In this role, I developed theoretical and numerical modeling of physical and mathematical methods applied to solving inverse problems, utilizing the theory of Compressive.
Nova Iguaçu E Região, Brasil
During this period, I taught courses focused on the basic engineering cycle, including: Calculus I, II, III, and IV; Linear Algebra; Complex Functions; Numerical Methods; Partial and Ordinary Differential Equations; Laplace and Fourier Transform. All the courses I taught were supported by mathematical software such as Maple, Matlab, and Mathematica to make.
Rio De Janeiro, Brasil
During this period, I taught courses focused on the basic engineering cycle, including: Calculus I, II, III, and IV; Linear Algebra. All the courses I taught were supported by mathematical software such as Maple, Matlab, and Mathematica to make the concepts learned in the classroom more tangible.
Rio De Janeiro, Brasil
I worked on problem-solving with clients, providing support in the use of specific modules of the GLOBUS management software. I simulated in the database issues reported by clients, whether caused by the improper use of the functionalities of each module for which I was responsible or software update problems. I was responsible for mediating the needs.
Other employees you can reach at 7danalytics.com. View company contacts for 10 employees →
Fábio Boaventura
Colleague at 7D AnalyticsSão Paulo, São Paulo, Brazil, Brazil
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EJ
Eliseu Junio Araujo
Colleague at 7D AnalyticsSão José Dos Campos, São Paulo, Brazil, Brazil
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IM
Ingrid Mariane Dutra De Araujo
Colleague at 7D AnalyticsSão Paulo, Brazil, Brazil
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RT
Ricardo Taborda Dos Reis
Colleague at 7D AnalyticsSão Paulo, São Paulo, Brazil, Brazil
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RM
Rafael Miyagi
Colleague at 7D AnalyticsSão Paulo, São Paulo, Brazil, Brazil
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SA
Sara Avila
Colleague at 7D AnalyticsSão Paulo, São Paulo, Brazil, Brazil
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AM
Ana Monteiro
Colleague at 7D AnalyticsJuiz De Fora, Minas Gerais, Brazil, Brazil
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BF
Bruno Furlanetto
Colleague at 7D AnalyticsSão Paulo, Brazil, Brazil
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Matheus Ferreira
Colleague at 7D AnalyticsSão Paulo, São Paulo, Brazil, Brazil
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Maurício Flauto
Colleague at 7D AnalyticsSão Paulo, São Paulo, Brazil, Brazil
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Objetivo é formar profissionais especializados em tópicos fundamentais da área de Data Science. Entre esses tópicos são importantes os.
The present work is based on a mixture theory of poroelastic media which in contrast to Biot’s theory, no relative acceleration is.
Dissertation: Typical data acquired in physical experiments or in geometrical or medical imaging are discrete. This data is generally.
2ª fase do Seminário de Iniciação Científica e Prêmio UFF Vasconcellos Torres de Ciência e Tecnologia com o tema Teoria de Galois.
Quick answers generated from the profile data available on this page.
Romulo Brito works for 7D Analytics.
Romulo Brito is listed as Ph.D. Senior Researcher - Foundation for Support to the Development of Scientific Computing (FACC) | LENEP/UENF - State University of North Fluminense at 7D Analytics.
AeroLeads has found 1 work email signal at @uva.br for Romulo Brito at 7D Analytics.
Romulo Brito is based in Assis, São Paulo, Brazil while working with 7D Analytics.
Romulo Brito has worked for 7D Analytics, Cnpq, Research Centre For Greenhouse Gas Innovation (Rcgi), Uenf - Universidade Estadual Do Norte Fluminense, and Cefet-Rj.
Romulo Brito's colleagues at 7D Analytics include Fábio Boaventura, Eliseu Junio Araujo, Ingrid Mariane Dutra De Araujo, Ricardo Taborda Dos Reis, and Rafael Miyagi.
You can use AeroLeads to view verified contact signals for Romulo Brito at 7D Analytics, including work email, phone, and LinkedIn data when available.
Romulo Brito holds Pós-Graduação Lato Sensu - Especialização Data Science, Ciência De Dados E Analytics from Cce - Puc-Rio.
Romulo Brito is listed with skills including Matlab, C++, Microsoft Powerpoint, Microsoft Excel, Sistemas Operacionais, Maple, Latex, and Mathematical Modeling.
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