João Batista is a postdoctoral researcher based in Tokyo with eight years of experience at the intersection of high-performance computing, machine learning, and evolutionary computation. His work focuses on optimizing large language models and using ML to accelerate high-performance code, backed by a PhD in Informatics from Faculdade de Ciências da Universidade de Lisboa and research stints at The University of Tokyo and RIKEN. He combines academic rigor—years as a PhD student, teacher assistant, and monitor—with practical development experience, including developer and part-time researcher roles during his studies. João’s profile hints at a knack for attribution in LLMs and unconventional optimization approaches, and he maintains a public link hub for deeper dives into his projects and outputs.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at Faculdade de Ciências da Universidade de Lisboa
An easy-to-use scikit-learn inspired implementation of the Multidimensional Multiclass Genetic Programming with Multidimensional Populations (M3GP) algorithm
Contributions:2 reviews, 34 commits, 4 PRs in 3 years
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