Assistant Professor at Departamento de Estatística, at Universidade Federal de São Carlos, in São Carlos, SP, Brazil. He has a Ph.D. and a Master in Probability and Statistics from Interagency Program Graduate in Statistics between Universidade Federal de São Carlos and Universidade de São Paulo - PIPGES UFSCar/USP - (2015 and 2019, respectively), and a Bachelor in Mathematics from Universidade Estadual Paulista Júnio de Mesquita Filho (2012). He has experience in Probability and Statistics, focusing on probability theory, inference in stochastic processes, information theory and stochastic calculus with application in neuroscience and finance. (Source: Lattes Curriculum)
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Artificial neural networks are statistical models used for the analysis of complex data. In the last decade, computational advances have made neural networks re-emerge as a powerful tool for solving classification and regression problems. In neuroscience, identifying the effect of glial cells on neuronal spoking is extremely difficult, but it is important to elucidate brain functioning an…
Records of neuronal activity reveal that electrical spikes may occur spontaneously and irregularly and undergo variations even when the neuron is exposed to the same stimuli. These empirical observations suggest a probabilistic framework for the mathematical description and treatment of neural phenomena. In this sense, the evolution of neuronal activity over time can be modeled by a stoch…
Over the past years, with the computational advances, statistics have undergone drastic changes, especially with regard to the increasing capacity of data storage. For each individual, more and more features have been collected, then the number of parameters to be estimated have becomes much larger than the number of observations. It is the case, for example, of areas as biology or applic…
Stochastic chains with unbounded memory are a natural generalization of Markov chains, in the sense that the transition probabilities may depend on the whole past. These process, introduced by Onicescu and Mihoc (1935) and Doeblin and Fortet (1937), have been receiving increasing attention in the probabilistic literature, because they form a class richer than the Markov chains and have pr…
A prominent and essential element in the brain, contributing to several cognitive functions, are glial cells. Identifying glial cell signatures in neuronal spiking and how these signatures change in the course of a pathology represents a promising target for therapeutic interventions. Understanding the extent of their involvement in brain functions may reveal potential opportunities for u…
| 1 / 1 | Ongoing scholarships in Brazil |
| 3 / 3 | Completed scholarships in Brazil |
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