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About me

Professor at the Theoretical Informatics Department of the Federal University of Rio Grande do Sul. I am a Computer Science PhD with expertise in Artificial Intelligence and Bioinformatics from the Universidade Federal do Rio Grande do Sul (UFRGS), Brazil, with MSc and BSc in Computer Science at the same institution. I completed four study abroad periods at the University of Birmingham (BSc), the Universidad de Santiago de Chile (USACH) (MSc), the Karlsruher Institut für Technologie (KIT) (PhD), and the Dalhousie University (PhD) through the Emerging Leaders in the Americas Program. I am a member of the AlumNode.org network. My main research focus is on Machine Learning, Bioinformatics, and Evolutionary Computation. Outside the academia, I have experience as freelancer journalist and writer. I worked as Research Assistant II at Universidade do Vale do Rio dos Sinos (Unisinos) in a project with Dell Inc. and as Adjunct Assistant Professor at the Theoretical Computer Science Department of UFRGS. I was one of 200 young researchers in computing and mathematics invited to the 7th Heidelberg Laureate Forum in 2019, and my PhD thesis received honors from the PPGC-UFRGS, the Young Bioinformatician Award for best thesis from the Brazilian Association of Bioinformatics and Computational Biology (AB3C), and an Honorable Mention in the 2024 CAPES Thesis Award in the field of Computing. Grantee of the Public Call no. 8 by Instituto Serrapilheira.

  • Machine learning
  • Interpretability
  • Evolutionary computation
  • Bioinformatics
  • Data visualization
  • Dimensionality reduction
  • Writing
  • Photography

Curriculum Vitae

Education

⬇️
2018-2023
PhD in Computer Science
Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 🇧🇷
Thesis: Knowledge discovery in biological tabular data through machine learning interpretability and visualization.
Advisor: Prof. Dr. Márcio Dorn.
2023
Visiting Graduate Research Student
Dalhousie University, Halifax, Canada 🇨🇦
Advisor: Prof. Dr. Evangelos E. Milios.
2019-2020
Exchange Student at Doctoral Program in Applied Mathematics
Karlsruher Institut für Technologie (KIT), Karlsruhe, Germany 🇩🇪
Advisor: Dr. Mathias J. Krause.
2017-2018
MSc in Computer Science
Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 🇧🇷
Thesis: N3O: A NEAT expansion for improving classification and feature selection applied to microarray data.
Advisor: Prof. Dr. Márcio Dorn.
2018
Exchange Student at Doctoral Program in Engineering Sciences
Universidad de Santiago de Chile (USACH), Santiago, Chile 🇨🇱
Advisor: Prof. Dr. Mario Inostroza-Ponta.
2011-2016
BSc Computer Science
Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 🇧🇷
Thesis: Prediction of amino acids flexibility using NeuroEvolution of Augmenting Topologies
Advisor: Prof. Dr. Márcio Dorn.
2014-2015
Exchange Student BSc Computer Science
University of Birmingham , Birmingham, UK 🇬🇧
Advisor: Dr. Shan He.

Professional Experience

⬇️
2023-Present
Associate Professor
Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil 🇧🇷
Departament of Theoretical Informatics
  INF05008 - Foundations of Algorithms
  INF05512 - Graph Theory and Combinatorics
  INF05501 - Theory of Computation N
Interdisciplinary Department
  CREAD049 - Artificial Intelligence in Education
2022-2023
Adjunct Assistant Professor
Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil 🇧🇷
Departament of Theoretical Informatics
  INF05501 - Theory of Computation N
2021-2022
Research Assistant II
Universidade do Vale do Rio dos Sinos (Unisinos), São Leopoldo, Brazil 🇧🇷
Supervisor: Prof. Dr. Gabriel de Oliveira Ramos.
Database Security: a smart model to deal with vulnerabilities in dataservers.

Complementary Education

⬇️
2023
Teacher Training: Tech Culture in the Classroom
Instituto Ling and Unisinos , Porto Alegre, Brazil 🇧🇷
Credit hour: 40h.
2023
Teacher Training: World Literature in the Classroom
Instituto Ling , Porto Alegre, Brazil 🇧🇷
Credit hour: 40h.
2023
Innovation and Science Diplomacy School on Global Circulation of Research Data
Universidade de São Paulo (USP) , São Paulo, Brazil 🇧🇷
Credit hour: 60h.
2021
Machine Learning Data Lifecycle in Production
DeepLearning.AI
Coursera
2021
Introduction to Machine Learning in Production
DeepLearning.AI
Coursera
2018
IX Course in Neuroscience
Graduate Program in Neuroscience
Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 🇧🇷
Credit hour: 68h.
2018
IV Summer Course in Evolutionary Biology
Postgraduate Program in Genetics and Molecular Biology (PPGMB)
Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 🇧🇷
Credit hour: 20h.
2017
Introduction to Systems Biology and Network Analysis
II Escola Gaúcha de Bioinformática
Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 🇧🇷
Credit hour: 15h.
2012
Processing and Generative Art
Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 🇧🇷
Credit hour: 10h.
2012
Introduction to Python
Universidade Federal do Rio Grande do Sul (UFRGS) , Porto Alegre, Brazil 🇧🇷
Credit hour: 4h.

Grants and Scholarships

⬇️
2025
8ª chamada pública de apoio à ciência
Instituto Serrapilheira 🇧🇷
Grantee in the 8th Public Call.
2024-2026
Fapergs 08/2023 Auxílio Recém-doutor ou Recém-contratado – ARD/ARC
Fundação de Amparo a Pesquisa do Estado do Rio Grande do Sul 🇧🇷
Grant for newly graduated PhD or newly hired aid (ARD/ARC) for the execution of research projects in science, technology, and/or innovation.
2024
CT-Mon/RNP Scholarship
RNP - Rede Nacional de Ensino e Pesquisa 🇧🇷
Scholarship awarded by the Comitê Técnico de Monitoramento de Dados (CT-Mon) of RNP in the context of the first Data Challenge CT-Mon/RNP.
2023
Postdoctoral Networking Tour in Artificial Intelligence
German Academic Exchange Service (DAAD) 🇩🇪
The Postdoc-NeT-AI is a DAAD initiative funded by the Federal Ministry of Education and Research that offers scientific talents from all over the world a personalized gateway to the German AI research community.
2023
Emerging Leaders in the Americas Program
Global Affairs Canada 🇨🇦
To attend Dalhousie University (January 2023-June 2023) as Visiting Graduate Research Student
2019-2022
PhD Scholarship
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 🇧🇷
2021
EMBL Corporate Partnership Programme Registration Fee Waiver
European Molecular Biology Laboratory (EMBL) 🇩🇪
Accessibility program to attend the virtual EMBL Conference: Visualizing Biological Data in March 2021.
2019-2020
Program CAPES/DAAD - PROBRAL
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) 🇧🇷 🇩🇪
To attend Karlsruhe Institute of Technology (Germany) for a year (September 2019 - September 2020) as an exchange PhD student.
2019
EMBL Corporate Partnership Programme Registration Fee Waiver
European Molecular Biology Laboratory (EMBL) 🇩🇪
Accessibility program to attend the 21st EMBL PhD Symposium in November 2019.
2018-2019
PhD Scholarship
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) 🇧🇷
2018
Programa ESCALA de Estudiantes de Posgrado
Asociación de Universidades Grupo Montevideo (AUGM) 🇧🇷 🇨🇱
To attend Universidad de Santiago de Chile (April 2018 - June 2018) as an exchange MSc student.
2017-2018
MSc Scholarship
Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS) 🇧🇷
2015-2016
Undergraduate Research Scholarship
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 🇧🇷
2014-2015
Science Without Borders Scholarship
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 🇧🇷 🇬🇧
To attend University of Birmingham (UK) for a year (September 2014 - September2015) as an exchange undergraduate student.
2013-2014
Undergraduate Research Scholarship
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 🇧🇷
2012-2013
Undergraduate Research Scholarship
Fundação de Apoio da Universidade Federal do Rio Grande do Sul (FAURGS) 🇧🇷

Distinctions

⬇️
2024
Honorable Mention for the 2024 Capes Thesis Award in the field of Computing
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes) 🇧🇷
Considered the most important award of Brazilian Science, the CAPES Thesis Award recognizes the best doctoral dissertations defended in Brazil in 2023, in the evaluation areas defined by the Foundation and that are part of the National Graduate System. In 2024, the award received 1,632 submissions. The Coordination for the Improvement of Higher Education Personnel (CAPES) is an agency linked to the Ministry of Education (MEC).
2024
Young Bioinformatician Award for Best Doctoral Thesis
Associação Brasileira de Bioinformática e Biologia Computacional (AB3C) 🇧🇷
The Thesis and Dissertation Competition Committee of the X-Meeting 2024 awards the best doctoral thesis in the field of Bioinformatics in Brazil, defended and approved between April 1, 2023, and March 31, 2024. The theses and dissertations are evaluated based on the scientific and technological results already generated by the work, as well as their potential impact on society and the state of the art in the field of Bioinformatics.
2024
Data Challenge CT-Mon/RNP winner
RNP - Rede Nacional de Ensino e Pesquisa 🇧🇷
Supervisor of one of the three winning teams of the first Data Challenge CT-Mon/RNP, a competition involving 15 teams from 11 Brazilian universities, focused on innovative solutions for network monitoring and content delivery optimization.
2023
Vote of Praise
PPGC UFRGS 🇧🇷
A vote of praise for a PhD Thesis that, in the unanimous judgment of the examination board, constitutes an exceptional work, provided that the candidate for the title meets the criteria established by the Graduate Committee.
2023
Emerging Leaders in the Americas
Global Affairs Canada 🇨🇦
Award to support the development of human capital and the next generation of leaders in the Americas while strengthening the linkages between post-secondary institutions in Canada and the Americas.
2019
Honorable mention for Best Masters Dissertation
Associação Brasileira de Bioinformática e Biologia Computacional (AB3C) 🇧🇷
Top 3 best dissertation in the field of Bioinformatics with the work entitled "N3O:A NEAT expansion for improving classification and feature selection applied tomicroarray data."
2019
Invitation to the 7th Heidelberg Laureate Forum
Heidelberg Laureate Forum Foundation (HLFF) 🇩🇪
Invited as one of the 200 young Math and Computer Science researchers around the world to attend the 7th Heidelberg Laureate Forum and present my research.
2016
Highlighted Research
Dean of Research of UFRGS (Propesq) 🇧🇷
Research selected as the highlight of the session "Artificial Intelligence and Foundations of Computing" at the XXVII Undergraduate Research Meeting of UFRGS with a nomination for the Young Researcher Award, given by the Dean of Research of UFRGS.

Registered Software

⬇️
2019
ConfID - Conformational Identifier
INPI, BR512019001928-8
2019
N3O: A NEAT expansion for improving classification and feature selection applied to microarray data
INPI, BR512019001953-9

Editor

⬇️
2023-Present
Associate Editor
Revista de Informática Teórica e Aplicada

Peer Reviewer

⬇️

Courses, Talks, Presentations

⬇️

Skills

⬇️
Programming languages
  • Python (fluent)
  • Java (basic)
  • C (basic)
Languages
  • Portuguese (native)
  • English (fluent)
  • Spanish (basic)
  • Italian (basic)

Publications

Multi-objective prioritization for data center vulnerability remediation

Multi-objective prioritization for data center vulnerability remediation

Felipe Colombelli, Vítor Kehl Matter, Bruno Iochins Grisci, Leomar Lima, Karine Heinen, Marcio Borges, Sandro José Rigo, Jorge Luis Victória Barbosa, Rodrigo da Rosa Righi, Cristiano André da Costa, Gabriel de Oliveira Ramos
IEEE Congress on Evolutionary Computation (CEC), 2022
📚 PDF | ResearchGate

Perspectives on risk prioritization of data center vulnerabilities using rank aggregation and multi-objective optimization

Perspectives on risk prioritization of data center vulnerabilities using rank aggregation and multi-objective optimization

Bruno Grisci, Gabriela Kuhn, Felipe Colombelli, Vítor Matter, Leomar Lima, Karine Heinen, Mauricio Pegoraro, Marcio Borges, Sandro Rigo, Jorge Barbosa, Rodrigo da Rosa Righi, Cristiano André da Costa, Gabriel de Oliveira Ramos
arXiv, 2202.07466, 2022
📚 PDF | ResearchGate

Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets

Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets

Marcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, Bruno César Feltes, Eduardo Avila, Alessandro Kahmann, Clarice Sampaio Alho
PeerJ Computer Science, 7:e670, 2021
📚 PDF | ResearchGate

CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research

CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research

Bruno César Feltes, Eduardo Bassani Chandelier, Bruno Iochins Grisci, and Márcio Dorn.
Journal of Computational Biology, 376-386, Apr 2019
📚 PDF | ResearchGate

Development of GROMOS-Compatible Parameter Set for Simulations of Chalcones and Flavonoids

Development of GROMOS-Compatible Parameter Set for Simulations of Chalcones and Flavonoids

Pablo R. Arantes, Marcelo D. Polêto, Elisa B. O. John, Conrado Pedebos, Bruno I. Grisci, Marcio Dorn, and Hugo Verli
The Journal of Physical Chemistry B, 123, 5, 994–1008, 2019
📚 PDF | ResearchGate

Perspectives and applications of machine learning for evolutionary developmental biology

Perspectives and applications of machine learning for evolutionary developmental biology

Bruno César Feltes, Bruno Iochins Grisci, Joice de Faria Poloni, Márcio Dorn
Molecular Omics, 14, 289-306, 2018
📚 PDF | ResearchGate

Aromatic Rings Commonly Used in Medicinal Chemistry: Force Fields Comparison and Interactions With Water Toward the Design of New Chemical Entities

Aromatic Rings Commonly Used in Medicinal Chemistry: Force Fields Comparison and Interactions With Water Toward the Design of New Chemical Entities

Marcelo D. Polêto, Victor H. Rusu, Bruno I. Grisci, Marcio Dorn, Roberto D. Lins, Hugo Verli
Frontiers in Pharmacology, 9:395, 2018
📚 ResearchGate

NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies

NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies

Bruno Grisci and Márcio Dorn
Journal of Bioinformatics and Computational Biology, Vol. 15, No. 03, 1750009, 2017
📚 ResearchGate

APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction

APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction

Bruno Borguesan, Mariel Barbachan e Silva, Bruno Grisci, Mario Inostroza-Ponta, Márcio Dorn
Computational Biology and Chemistry, Volume 59, Part A, Pages 142-157, December 2015
📚 PDF | Suppl. | ResearchGate

ROBO+EDU: Desenvolvimento de kit Open Source para Robótica Educativa

ROBO+EDU: Desenvolvimento de kit Open Source para Robótica Educativa

Lucas E. P. Mizusaki, Willian B. Esperandio, Nelso G. Jost, Dante A. C. Barone, Bruno I. Grisci, Ana Carolina Ribeiro
Anais do XLI Congresso Brasileiro de Educação em Engenharia (COBENGE), Gramado, 2013
📚 PDF | ResearchGate

Posters

⬇️
2021
EMBL Conference: Visualizing Biological Data (VIZBI)
Visualization of gene selection results from cancer data using weighted t-SNE 🇩🇪
📜 PNG
2020
4th Spring School Lattice Boltzmann Methods
Selection of Biological Features by Ranking the Relevances of Neural Networks Inputs 🇩🇪
2019
21st EMBL PhD Symposium
Selection of Biological Features by Ranking the Relevances of Neural Networks Inputs 🇩🇪
📜 PDF
2019
7th Heidelberg Laureate Forum
Ranking Relevances from Neural Networks for the Selection of Biological Features 🇩🇪
📜 PDF
2016
XXVIII Scientific Initiation Meeting of UFRGS
Predição da Flexibilidade Conformacional de Resíduos de Aminoácidos através de Neuroevolução 🇧🇷
📜 PDF

Theses

⬇️
2023
PhD Thesis, Federal University of Rio Grande do Sul
Knowledge discovery in biological tabular data through machine learning interpretability and visualization
Advisor: Prof. Dr. Márcio Dorn.
2018
MSc Dissertation, Federal University of Rio Grande do Sul
N3O: a NEAT expansion for improving classification and feature selection applied to microarray data
Advisor: Prof. Dr. Márcio Dorn.
Co-Advisor: Prof. Dr. Mario Inostroza-Ponta.
📚 PDF
2016
BSc Final Project, Federal University of Rio Grande do Sul
Predição da flexibilidade de aminoácidos utilizando neuroevolução de topologias crescentes
Advisor: Prof. Dr. Márcio Dorn.
Co-Advisor: Dr. Shan He.
📚 PDF

Other stuff

Besides doing science I like taking photos and writing. Some of my pictures can be seen here and here. Some of them are even adorning this website.

I have short stories (in Portuguese) published on this book and on this other book.

I also contributed several texts (in Portuguese) to GameBlast, PlayReplay, and Revista Nintendo World.

Contact me

Feel free to contact me through the e-mail below:
Email bigrisci@inf.ufrgs.br