Summary
Bruno Grisci is a Professor in Theoretical Informatics at UFRGS with 11 years of experience bridging machine learning, bioinformatics, and evolutionary computation. He holds a PhD in Computer Science and has enriched his research through exchanges at KIT and Dalhousie as well as study periods at Birmingham and USACH. His academic work spans computational protein structure prediction, neuroevolution experiments (NEAT), and intelligent models for database security, reflecting a blend of theoretical depth and applied experimentation. Bruno has taught theory of computation and supervised research projects while also gaining nonacademic experience as a journalist and editor, which sharpens his communication of complex ideas. Based in Rio Grande do Sul, he is active in international research networks like AlumNode and leverages cross-disciplinary methods to tackle biological and algorithmic problems. An observant researcher, he often applies evolutionary perspectives to design smarter predictive systems rather than relying solely on standard ML pipelines.
11 years of coding experience
2 years of employment as a software developer
Exchange student Maters, Computer Science, Exchange student Maters, Computer Science at Universidad de Santiago de Chile
Visiting Graduate Research Student, Computer Science, Visiting Graduate Research Student, Computer Science at Dalhousie University
Master, Computer Science, A, Master, Computer Science, A at Universidade Federal do Rio Grande do Sul
PhD, Computer Science, A, PhD, Computer Science, A at Federal University of Rio Grande do Sul
Computer Science, Computer Science at University of Birmingham
Doctoral Exchange Program, Mathematics and Computer Science, Doctoral Exchange Program, Mathematics and Computer Science at Karlsruher Institut für Technologie (KIT)
Portuguese, English, French, Italian