Bruno A. Email & Phone Number

Paris, FR

Greater Paris Metropolitan Region

Laboratoire interdisciplinaire des sciences du numérique (LISN), INRIA TAU, CNRS

São Paulo, Brazil

• Title: Learning Structure In Electroencephalogram Using Deep Learning. I'm a PhD student working on Electroencephalogram at NeuroComp Lab, the Federal University of ABC, co-supervised at King's College London. My.
• Developed a machine learning application using Python for neurophysiological data (EEG, ECG) collection, annotation, visualisation, and experimentation.
• Created and normalised physiological datasets to BIDs formats with data structuring and pre-processing for machine learning experiments.
• Implemented Pytorch and Scikit-Learn compatible algorithms from the literature, including ShallowNet, Deep4Net, and EEGNet. Trained and fine-tuned deep models using Pytorch and Keras.
• Managed the projects using Git and open-sourced the code on GitHub with documentation and tutorials generated with Sphinx. Conducted a literature review of brain signals decoding methods for EEG signals.
• Coordinated and published scientific articles. Collaborated with international teams outside my research lab.

São Paulo, Brazil

• Teaching Assistant in Computer Science Course in Fall 2021, * Computers, Ethics, and Society.
• Managed and developed learning objectives for over 200 students. Instructed and guided them in analysing, discussing and abstracting questions about ethics, artificial intelligence and society to form original.

Greater Paris Metropolitan Region

Laboratoire interdisciplinaire des sciences du numérique (LISN), INRIA TAU, CNRS

Greater London, England, United Kingdom

University of Glasgow and Getúlio Vargas Foundation.I worked on a project to automatically crawl tweets from the largest city in Brazil and associate them with official flood indices. Building and structuring an SQL database with flood related tweets. This work is part of the interdisciplinary project Waterproofing Data, coordinated by Prof Dr Joao.

São Paulo, Brazil

• Developed a crawling application using Python for real-time data collection, annotation, visualization in a massive volume of data using Waze data stream in the largest city in Brazil, São Paulo (using AWS);
• Used distributed computation for calculated metrics related to a delimited street of interest of the client, the Traffic Engineering Company, metrics such as the delay on main avenues of the city or accident notified.
• Integrated the official… Show more
• Integrated the official accident database with police and hospital notes on the severity of vehicle accidents for the application.
• Designed experimental protocol to aggregate heterogeneous databases, with some variables in one that don’t exist in the other, to associate the Waze Data with the municipal vehicle accident database with terabytes per.
• Extracted technical and business requirements with the client and other actors involved. Participated in several meetings to enable the implementation of the Minimum Viable Product developed.

São Paulo, Brazil

• I was an analyst in the risk team of the largest bank in Latin America, market values US$ 39.06 billion in 2022. Responsible for internal evaluation for proxy communications, firewall, and sustained automation requests.
• Responsible for process improvement, internally evaluated requests with natural language processing models. I used Python to pre-classify internal requests and reduce their processing time.
• … Show more
• I was the second-fastest analyst in demand resolution during this period.I left the position to start the PhD. Show less

São Paulo, Brazil

• Led a pilot data science project and a new product to build stock market volatility indicators based on network topology from media news outlets (Brazilian Stock: IBOV and WDO).
• Integrated a machine learning model into a media news crawl built inside the Google Cloud Platform, Big Query from Google News API.
• Extracted measures from the complex network and ensemble with a cluster to create a cluster of news.
• Developed custom pre-processing and normalising unstructured… Show more
• Developed custom pre-processing and normalising unstructured information, using natural language processing with Stemming, Lemmatization, and other regularisation methods to normalise different text sources.
• Created and drew an architecture based on a complex network, considering the similarity of each pair of news to build edges and vertices with the Latent Dirichlet Allocation model.

Santo André, São Paulo, Brasil

I was a three times fellowship student at the Federal University of ABC funded by UFABC and CNPq (Brazilian National Council for Scientific and Technological Development). I worked on three projects:In the third year, I work with Data Analysis to Support Undergraduate Decision Making.

São Bernardo Do Campo, São Paulo, Brasil

• Preprocessed the EEG using EEGLab with ICA and band-decomposition (alpha, beta, gamma, theta) in Matlab.
• Constructed the epoch from the continuous biosignal related with a motor imagery experiment with data from three hospitals with chronic pain patients and a control group.
• Designed and Implemented a feature learning pipeline to extract measures based on functional and effective connectivity estimation methods for Electroencephalography.
• Extracted complex network measures of… Show more
• Extracted complex network measures of functional and effective connectivity, such as small worldness, cluster coefficient and average path length across brain network clusters.
• Validated the findings of the differences in functional brain connectivity and discovered a modulatory behaviour in specific brain oscillations with a non-parametric statistical test (Kruskal–Wallis with Friedman).

São Paulo, Brazil

In the first year, the research project was on One-Classification Thematic (also known as anomaly detection) with traditional machine learning and Complex Networks methods.

Campo Grande

I received an internship fellowship to be a research intern at Embrapa Beef Cattle, under the supervision of Prof. Edson Takashi Matsubara from Artificial Intelligence Laboratory at FACOM/UFMS. During the internship, the goal was to select attributes with a good explanation of the trough behavior of the animals and their thermal comfort.

Campo Grande E Região, Brasil

I was a high school researcher at the computer vision laboratory. I worked for one year and a half in a research group at Inovisão/UCDB. In conjunction with two undergraduate researchers, the project analyzed the behavior of bamboo weevils during feeding acceptance experiments.I developed two papers: Bamboo Weevil Counting Using Threshold Techniques.

Doctor Of Philosophy - Phd, Computer Science

Activities and Societies: Cotutella with UFABC

Doctor Of Philosophy - Phd, Computer Science

Deep Learning in Electroencephalogram. sup: Raphael Camargo and Walter Pinaya.

Bachelor'S Degree, Neuroscience

Functional Connectivity Study in Electroencephalogram;

Bachelor'S Degree, Computer Science

Activities and Societies: Course Student Representative (2018-2019), Dissertation in Data Science in Academic Learning. Relevant.

Bachelor Of Science - Bs, Science, Technology And Society

Technician Of Computer, Computer Science

Activities and Societies: High School Scientific Initiation fellows (3 years), Co-founder of the student union. Six-time Medalist in.