Kleyton da Costa
AI Researcher · Incoming Ph.D. @ UCL
kleyton.vsc@gmail.com · kleyton.costa@holisticai.com
I'm an AI researcher working at the intersection of AI safety, graph learning, optimization, and probabilistic models. In October 2026 I'll begin a Ph.D. in Computer Science at University College London, advised by Prof. Philip Treleaven and Prof. Dimitrios Kanoulas, where my research will focus on predictive safety in embodied AI , methods for anticipating unsafe behavior in physical and decision-making agents before it occurs.
Recent work includes a 2026 survey of predictive safety in embodied AI with collaborators at UCL and Holistic AI, and the development of divergence-guided particle swarm optimization for robust search.
I'm currently an AI Researcher and Engineer at Holistic AI and a core contributor to open-source research software for AI trustworthiness, optimization, and state-space modeling.
Recent Publications
All publications →A Survey on Predictive Safety in Embodied AI
2026Kleyton da Costa, Adriano Koshiyama, Dimitrios Kanoulas, Philip Treleaven
SSRN
Divergence-Guided Particle Swarm Optimization
2026Kleyton da Costa, Bernardo Modenesi, Ivan F. M. Menezes, Hélio Lopes
arXiv:2604.12001
The Confidence Manifold: Geometric Structure of Correctness Representations in Language Models
2026Seonglae Cho, Zekun Wu, Kleyton Da Costa, Adriano Koshiyama
arXiv:2602.08159
Time series forecasting via integrating a filtering method: an application to electricity consumption
2025Felipe Leite Coelho da Silva, Josiane da Silva Cordeiro, Kleyton da Costa, Nemias Saboya, Paulo Canas Rodrigues, Javier Linkolk Lopez-Gonzales
Computational Statistics
Learning on Graphs via Generalized Divergence Measures
2025Kleyton Vieira Sales da Costa
PUC-Rio
Research Software
graphnetz
Graph neural network benchmark whose default output is a statistical report
optymus
Optimization methods for science and engineering
compute-geometry
Research-focused computational geometry library for Python
dynaris
JAX-powered library for state-space models
holisticai
Open-source library for assessing AI trustworthiness
Education
- Ph.D. in Computer Science · University College LondonOct 2026 — Oct 2030 (incoming)
- M.Sc. in Computer Science · PUC-Rio2023 — 2025
- B.Sc. in Economics · UFRRJ2017 — 2021
Affiliations
- AI Engineer · Holistic AIAug 2025 — Present
- AI Researcher · Holistic AIOct 2021 — Present
- Researcher · PUC-RioMar 2023 — Aug 2025
- Data Scientist · State Government of Rio de JaneiroJan 2022 — Mar 2023
Contact
For research collaboration, academic discussion, or open-source contributions, reach me at kleyton.vsc@gmail.com.