My research develops Bayesian learning and hybrid AI methods to predict individual treatment effects (PITE), addressing missing information and complex outcomes to advance personalized medicine and clinical trial decision-making.
(2026) Precision Joint Modeling under
Missingness
SAFJR
2026 →
(2025) Evaluating Predictive Modeling
Strategies for Predicting Individual Treatment Effects in Precision
Medicine
This study reveals novel differences in model accuracy, directionality,
and robustness for predicting individual treatment effects.
In review →
(2025) A Bayesian Additive Regression Trees
Model for Zero and One Inflated Data
Development of a flexible Bayesian framework for Predicting
Individual Treatment Effects (PITE) in alcohol use disorder
trials.
In review →
(2025) Hybrid AI Methods for Feature
Selection in Personalized Treatment Effect Prediction
Integration of meta-heuristic optimization and explainable AI for PITE
modeling.
WiDS 2025
→
(2025) Bayesian Approaches to Predicting
Individual Treatment Effects in Precision Medicine
Evaluation of Bayesian paradigms in individualized inference.
BAYSM 2025
→
(2024) Regression-Based Trees for Outcomes
with Closed Boundary Domains
Machine learning for constrained outcomes in biomedical research.
WiDS
2024 →
(2024) Comparing Modern Machine Learning
Methods for Predicting Individual Treatment Effects
Benchmark study evaluating Bayesian and frequentist approaches in PITE
context.
ISCB 2024
→
Applied research spanning ecology, environmental monitoring, and risk modeling, with emphasis on Bayesian inference, hierarchical models, and multivariate probabilistic analysis.
(2025) A Geospatial–Climate Framework Reveals How Micro-Terroir and Weather Extremes Shape Grape Biochemical Quality
[In Review]
(2023) Probabilistic Models and Machine
Learning for Biomass and LAI Prediction
Integration of multispectral–LiDAR UAV data for environmental
monitoring.
Abstract
→
(2022) Mapping Leaf Area Index of Chestnut
Trees Using UAV-Based Multispectral Data
Remote sensing and predictive modeling of forest structure.
Journal Paper
→
(2021) Community Surveillance of COVID-19
Using Wastewater Data
Bayesian hierarchical modeling for epidemic monitoring.
Collaboration with T. Marques and M. Vieira.
(2021) Coral Growth Bands and Trace Elements
after the Fundão Dam Collapse
Environmental reconstruction via hierarchical Bayesian inference.
Science of the
Total Environment →
(2021) Decadal Dynamics of Southwestern
Atlantic Turbid Reefs
Multivariate modeling of long-term ecological data.
PLOS
ONE →
(2020) Tropical Rhodolith Beds as Major Reef
Fish Habitats
Multilevel ecological modeling of biodiversity.
Scientific Reports
→
(2018) Joint Modeling of Longitudinal
Markers and Survival Data
Dynamic hierarchical Bayesian modeling for clinical trials.
(Ph.D. Thesis, Federal University of Rio de Janeiro)
Read
Thesis →
(2022) Robust Clustering Under Compositional
Constraints
Statistical inference for constrained multivariate data.
Abstract
→
(2021) Heavy-Tailed and Overdispersed
Collective Risk Models
Advanced actuarial modeling with heavy-tailed distributions.
North
American Actuarial Journal →
(2022) Variability in Compositional
Regression for Marine Community Dynamics
Hierarchical Bayesian inference for ecological systems.
ISEC
2022 →
(2020) Time-Varying Effects for
Compositional Data
Dynamic modeling in ecological time series.
UFRJ
Ecology Meeting →
(2020) Hierarchical Time-Dependent Quantile
Regression Model for Predicting Coral Cover Spatial modeling using
heavy-tailed distributions: A Bayesian approach.
ISEC 2020 →
(2018) A Flexible Joint Model for
Time-to-Event Data and Sequential Longitudinal Biomarkers: A Fully
Dynamic Hierarchical Framework Comprehensive hierarchical modeling
for survival and longitudinal data.
CLATSE 2018 →
(2017) A Joint Dynamic Hierarchical
Multi-State Model Hierarchical Bayesian approach for multi-state
survival analysis.
Cobal 2017 →
(2015) Robust Hierarchical Model for
Collective Risk under a Bayesian Framework Advanced actuarial
modeling with heavy-tailed and robust distributions under Bayesian
approach.
Cobal 2015 →
(2018) Symbolic Violence in Urban Music:
Analyzing the Artist Maluma
Text mining and sentiment analysis in cultural data.
ECI
2018 →
Slides
→
(2015) Visibilidad de la Revista Médica
Herediana
Bibliometric analysis of academic impact and visibility in medical
research.
Journal Article
→