Skip to content
View Bonidia's full-sized avatar

Block or report Bonidia

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Bonidia/README.md

Hello, my name is Bonidia

I have a Ph.D. in Computer Science and Computational Mathematics from the University of São Paulo - USP, Brazil. I also have a degree in Information Security Technology from the Faculdade Estadual de Tecnologia de Ourinhos - SP (FATEC - Centro Paula Souza - Brazil), a specialist in Computer Networks and a Master's in Bioinformatics, both from the Federal University of Technology - Paraná (UTFPR), Brazil. I am a Member of the Steering Committee and Activities Committee for the Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP). I have Computer Science experience, emphasizing artificial intelligence, pattern recognition, metaheuristics, computational biology, and data mining. My objectives are to contribute to society, generating Artificial Intelligence (AI) solutions that directly impact the lives of people who need them. I have been working on building solutions to democratize AI, specifically Machine Learning (ML) in biology. So far, our studies have generated results that can be applied in the study of biological sequences, having a high potential to significantly reduce the experience required to use AI/ML pipelines, helping researchers in combating various problems, such as diseases that directly impact people's lives, mainly in low- and middle-income countries, giving biologists and other stakeholders, an opportunity for widespread use of these techniques. Our studies have achieved awards and publications in high-impact journals. In 2021, our BioAutoML project was elected by LARA-Google among the 24 most promising ideas in Latin America (24 awarded projects from a base of 700 submissions), winning the Google Latin America Research Awards (LARA), promoted by Google. In 2022, the same project was a finalist (Top 15 of 82) in the Ideas Contest, Falling Walls Lab Brazil 2022, promoted by the Falling Walls Foundation (DAAD - German Center for Science and Innovation). I was awarded two scholarships to conduct my research in Germany (Helmholtz Centre for Environmental Research - Leipzig, Saxony, Germany), among them: (1) Research & Training Grant/Award - Federation of European Microbiological Societies (FEMS); (2) Helmholtz Visiting Researcher Grant/Award - Helmholtz Information & Data Science Academy (HIDA). Moreover, my project, called BioFatecou, which aims to introduce undergraduate students to the conscious use of AI (AI for good), was a finalist in the Higher Education Category (Among the 10 finalists - 2897 subscribers), Transformer Educator Award, which aims to select the most transformative projects in Brazil, 2023. In the same year, the BioFatecou project won an honorable mention (more than 200 submissions), in the 25th edition of the Professor Mário Palmério Top Educational Award. Also, in 2023, AutoAI-Pandemics was selected as one of the most promising proposals (a total of 221 proposals from 47 countries) in a global competition, held by the Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network - AI4PEP. Finally, two projects guided by me were finalists in Falling Walls Lab Brazil 2023, with the project "Breaking the Wall of Fake News" being the winner of the year.


Contact

🏡 Website | 🐦 ResearchGate | 📺 Google Scholar | 👔 Linkedin


Awards/Grants/Scholarships

⭐ AutoAI-Pandemics, which was selected as one of the most promising proposals (a total of 221 proposals from 47 countries following a rigorous review process (142 from Africa, 40 from Asia, 26 from LAC, 12 from MENA)) in a global competition, held by the Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network - AI4PEP - 2023 - CAN$362,500.

⭐ Google Latin America Research Awards (LARA), Google, 2021. BioAutoML: Automated Feature Engineering for Classification of Biological Sequences (24 awarded projects, from a base of 700 submissions).

⭐ BioPrediction - Project selected to participate in Prototypes for Humanity 2023, during COP28-Dubai, chosen from 3000 entries, from more than 100 countries, standing out among the 100 best, Prototypes for Humanity - COP28-Dubai.

⭐ BioAutoML - Top 10 Finalist - Santander X Brazil Award - Selected among the top 10 university projects (from over 200 entries) in Brazil in the national innovation competition promoted by Banco Santander.

⭐ BioAutoML received an intensive acceleration program by ACE Cortex (one of the largest in Latin America), focusing on innovation, scalability, and business development, as part of the Santander X Brazil Award.

⭐ Helmholtz Visiting Researcher Grant/Award - Helmholtz Information & Data Science Academy (HIDA), 2023. Project Title: BioAutoML-Fast: End-to-End Multi-Threaded Machine Learning Package for Life Sciences.

⭐ Winning Team (Advisor), 1st place, "Breaking the Wall of Fake News", Falling Walls Lab Brazil 2023, DWIH São Paulo, Falling Walls Foundation, DAAD, The German Center for Research and Innovation.

⭐ Supervisor of the ÁGUEDA Project (Artificial Intelligence for Early Detection of Breast Cancer), recognized as the best ongoing research project in the field of Exact and Earth Sciences in Brazil for undergraduate scientific initiation by Conic-Semesp (the Largest Scientific Initiation Congress in Brazil), among more than 1,200 registered projects.

⭐ FEMS Research & Training Grant/Award - Federation of European Microbiological Societies (FEMS), 2023 (€: 5.000,00).

⭐ Our BioAutoML project received an honorable mention from the Young Bioinformatics Award 2024, being chosen among the best theses in Bioinformatics and Computational Biology in Brazil, 2024.

⭐ Our BioAutoML project received third place in the ARTUR ZIVIANI THESIS AWARD (SBCAS), being chosen among the best theses in computing applied to health in Brazil, 2024.

⭐ BioPrediction received second place in the Scientific Initiation Competition (SBCAS), being chosen among the best works in computing applied to health in Brazil, 2024.

⭐ Finalist in the Higher Education Category (Among the 10 finalists in the Higher Education Category - 2897 subscribers - BioFatecou Project), Transformer Educator Award - Sebrae, Instituto Significare and Bett Brasil, which aims to select the most transformative projects in Brazil, 2023.

⭐ Honorable mention to the BioFatecou Project (more than 200 submissions) - 25th edition of the Professor Mário Palmério Top Educational Award - ABMES - Associação Brasileira de Mantenedoras de Ensino Superior - Brasil - 2023 - Elected among the 5 most transformative projects in Brazil.

⭐ InteliGente was named the third most transformative educational project in the State of São Paulo (Brazil) by the Transformative Educator Award, 2024.

⭐ Finalists (Ideas Contest - Top 15 of 82), Falling Walls Lab Brazil 2022, DWIH São Paulo, Falling Walls Foundation, DAAD, The German Center for Research and Innovation.

⭐ Finalist Team (Advisor), "Breaking the Wall of Alzheimer’s Detection", Falling Walls Lab Brazil 2023, DWIH São Paulo, Falling Walls Foundation, DAAD, The German Center for Research and Innovation.

⭐ Editor's Choice Article, Entropy (2024). For the paper: "Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy." Recognized by the journal's Academic Editor as an exceptional contribution to the field. The article is featured in Entropy's special edition dedicated to showcasing groundbreaking research.

⭐ 1 place in the UTFPR-CP Public Contest, position of Effective Federal Professor, Paraná, Brazil.

⭐ Certificate of excellence for the distinction achieved at Falling Walls Lab Brazil 2023 as Advisor Professor, Faculdade Estadual de Tecnologia de Ourinhos - Fatec, 2023.

⭐ Motion No. 405/2023 (Ourinhos-SP City Council - Brazil) - Congratulations to the students and professors of Fatec Ourinhos for developing the 'ITT – Is That True' app, a platform to combat fake news, 2023.

⭐ Hollie's Hub for Good - DigitalOcean. BioFatecou: Introducing Undergraduates to Academic Research, 2023 ($2.750,00).

⭐ 1 place in the Fatec Ourinhos Public Contest, in the Natural Language Processing (PLN) discipline, Centro Paula Souza (CPS) - SP.

⭐ Advisor to undergraduate students Ana Clara B. Medeiros et. al, 2nd place at the 1st Cambará Ideas Fair, Grace: Resume Recommendation System with Artificial Intelligence - 1st Cambará Ideas Fair - Norte Pioneiro - Paraná, 2023.

⭐ Advisor of undergraduate student Wagner Lopes Cardozo, 3rd place at the 1st Cambará Ideas Fair, Águeda: An Artificial Intelligence for Early Detection of Breast Cancer - 1st Cambará Ideas Fair - Norte Pioneiro - Paraná, 2023.

⭐ Scholarship Researcher - University of São Paulo - São Carlos/Brazil (ICMC), 2020-2024. Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).

⭐ Scholarship Researcher - Federal University of Technology - Paraná/Brazil (UTFPR), 2018-2020. Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).


Information about my GitHub Account

GitHub Stats


Pinned Loading

  1. MathFeature MathFeature Public

    Feature Extraction Package for Biological Sequences

    Python 48 16

  2. BioAutoML BioAutoML Public

    BioAutoML: Automated Feature Engineering and Metalearning

    Jupyter Notebook 36 5

  3. brenoslivio/BioDeepFuse brenoslivio/BioDeepFuse Public

    Hybrid Deep Learning Approach with Integrated Feature Extraction Techniques for Enhanced Biological Sequences Classification

    Python 4

  4. FeatureExtraction_BiologicalSequences FeatureExtraction_BiologicalSequences Public

    Feature Extraction Approaches for Biological Sequences: A Comparative Study of Mathematical Models

    Python 15 5

  5. 0nurB/BioPredictionRPI-1.0 0nurB/BioPredictionRPI-1.0 Public

    framework to predicting rna-protein interactions

    Python 2 1

  6. cd-fundamentos cd-fundamentos Public

    Ciência de Dados – Fundamentos e Aplicações

    HTML 10 3