Matheus Do Carmo Alves

Pesquisador De Pós-doutorado at FAPESP

São Carlos, São Paulo, Brazil
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Summary

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Senior
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Top School
Matheus Do Carmo Alves is a computer scientist and postdoctoral researcher specializing in AI and reinforcement learning approaches for robotics and decision-making under uncertainty. With nine years of research experience and appointments at USP, Lancaster University and FAPESP, he develops practical algorithms for forecasting, latent parameter estimation and robust statistical learning when data or knowledge are scarce. His work has been published in top venues including NeurIPS, (J)AAMAS and Knowledge-Based Systems, reflecting a balance of theoretical novelty and real-world applicability. Comfortable in cross-cultural teams, he brings a detail-oriented, communicative style informed by diverse collaborations and hands-on roles from academia to industry. Beyond research, his background includes five years coordinating leisure programs and an early passion for acoustic guitar, hints of creativity that influence his problem-solving approach. Based in São Carlos, Brazil, he focuses on translating principled models of uncertainty into reliable solutions for everyday and robotic systems.
code9 years of coding experience
job4 years of employment as a software developer
bookPost-doc, Mobile Robotics, Post-doc, Mobile Robotics at USP - Universidade de São Paulo
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Lancaster University
languagesEnglish, Portuguese
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Github Skills (5)

javascript3
java3
science3
computer-science2
nvidia-isaac1

Programming languages (4)

C++CAssemblyPython

Github contributions (5)

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lsmcolab/adleap-mas

Feb 2021 - Sep 2022

Contributions:152 commits, 142 pushes, 1 branch in 1 year 7 months
Micanga/workspace_usp

Jan 2018 - Sep 2018

Contributions:176 pushes, 1 branch in 8 months
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