Kleyton da Costa
Research Scientist and Engineer
Education
University College London — United Kingdom
Jun 2026 – present
Ph.D. · Computer Science
Pontifical Catholic University of Rio de Janeiro (PUC-Rio) — Brazil
Mar 2023 – Mar 2025
M.Sc. · Computer Science
Federal Rural University of Rio de Janeiro (UFRRJ) — Brazil
Mar 2017 – Dec 2021
B.Sc. · Economics
Work Experience
Holistic AI · London, UK
- Senior Research ScientistOct 2026 – present
- Artificial Intelligence EngineerSep 2025 – Oct 2026
- Research ScientistOct 2021 – Sep 2025
- Summer InternJul 2021 – Oct 2021
PUC-Rio · Rio de Janeiro, Brazil
- Research EngineerMar 2023 – Aug 2025
State Government of Rio de Janeiro · Rio de Janeiro, Brazil
- Data Science AdvisorJan 2022 – Mar 2023
Selected Research Papers
- COSTA, K., MODENESI, B. Perspectives on Tsallis Statistics for Artificial Intelligence. (Physica A, 2026) [pdf]
- COSTA, K., MODENESI, B. GraphNetz: Statistical Benchmarking of Graph Neural Networks with Paired Tests and Rank Aggregation (LoG Conference, 2026) [pdf]
- COSTA, K., KOSHIYAMA, A., KANOULAS, D., TRELEAVEN, P. A Survey on Predictive Safety in Embodied AI. (Pre-print, 2026). [pdf]
- KUMAR, R., KOSHIYAMA, A., COSTA, K., et al. Deep learning model fragility and implications for financial stability and regulation. Bank of England Working Paper, 2023. [pdf]
- MUNOZ, C.; COSTA, K.; MODENESI, B.; KOSHIYAMA, A. Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic Metrics. 2024. [pdf]
References
- Bernardo Modenesi (Professor at University of Utah)
- Ivan Menezes (Professor at PUC-Rio)
Updated October 2026