CV
Brief CV. See PDF for complete details.
Basics
| Name | Luben M. C. Cabezas |
| Position | PhD Candidate in Statistics |
| lucruz45.cab@gmail.com | |
| Url | https://monoxido45.github.io/ |
| Interests | Uncertainty Quantification in ML, Statistical Learning, Non-Parametric Statistics |
Work
-
2025.09 - Present -
2022.08 - Present PhD researcher
Statistical Machine Learning Lab - SMaLL, UFSCar
- Research funded by FAPESP (Grant 2022/08579-7).
-
2021.11 - 2022.06 -
2020.11 - 2021.11 Research Assistant
Statistical Machine Learning Lab - SMaLL, UFSCar
- Research funded by FAPESP (Grant 2020/10861-7).
Education
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2025.09 - Present Grenoble, France
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2022.08 - Present São Carlos, Brazil
PhD
Federal University of São Carlos (UFSCar) and University of São Paulo (USP)
Statistics and Machine Learning
-
2018.03 - 2022.04 São Carlos, Brazil
Publications
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2026.09 Conformal Prediction via Transported Beta Laws
15th Symposium on Conformal and Probabilistic Prediction With Applications (COPA)
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2026.08 CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference
Philosophical Transactions of the Royal Society A
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2026.04 Conformal Calibration of Statistical Confidence Sets
Transactions on Machine Learning Research (TMLR)
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2025.06 Epistemic Uncertainty in Conformal Scores: A Unified Approach
41st Conference on Uncertainty in Artificial Intelligence (UAI)
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2025.05 REACT to NHST: Sensible conclusions to meaningful hypotheses
The Quantitative Methods for Psychology (TQMP)
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2025.01 Regression trees for fast and adaptive prediction intervals
Information Sciences
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2023.07 Hierarchical clustering: Visualization, feature importance and model selection
Applied Soft Computing
Skills
| Coding | |
| R | |
| Python | |
| Shell Script |
| Developing tools | |
| Git | |
| Markdown | |
| Linux | |
| Latex |
| Research | |
| Writing | |
| Benchmarking | |
| Literature Review | |
| Idea Generation | |
| Communication |
| Statistical Learning | |
| Conformal Prediction | |
| Decision Trees | |
| Local Calibration | |
| Neural Networks | |
| Likelihood-Free Inference | |
| Simulation-Based Inference | |
| Uncertainty Quantification |
Languages
| Portuguese | |
| Native speaker |
| English | |
| Fluent |
| Spanish | |
| Advanced |
| French | |
| Intermediate |
Interests
| Statistical Learning | |
| Conformal Prediction | |
| Local Calibration | |
| Uncertainty Quantification | |
| Likelihood-Free Inference | |
| Neural Networks | |
| PAC Learning | |
| Decision Trees and Random Forests |
| Statistics | |
| Non Parameteric Inference | |
| Hypothesis Testing | |
| Bayesian Inference | |
| Bayes Non-Parametric Inference |