Summary
Matheus Saldanha is a doctoral researcher in computer science on a MEXT scholarship in Tsukuba, combining rigorous mathematics, statistics and computation across interdisciplinary problems from earthquake forecasting to low-resource machine translation. With nine years of research experience and top academic honors from his undergraduate studies in Brazil, he has contributed high-performance computing methods for protein structure problems, developed theoretical learning guarantees for time series, and published work linking solar and tidal data to short-term earthquake forecasts. His dual master’s training in Statistics (USP) and Computer Science (Tsukuba) informs a toolkit that spans extreme value theory, dynamical systems embeddings, statistical learning theory, and neural networks. Recent work at KIT explored cross-lingual transfer and language-distance metrics for multilingual translation, reflecting a growing interest in practical NLP under data scarcity. Colleagues praise his ability to learn new tools quickly and to bridge theory and application—an asset for postdoctoral or research internship roles starting in 2026.
9 years of coding experience
Master's degree, Statistics, Master's degree, Statistics at USP - Universidade de São Paulo
Doctor's Degree, Computer Science, Doctor's Degree, Computer Science at University of Tsukuba
University of São Paulo
Japanese, English, Portuguese, German