2025
Guided Variable Selection for Economic Forecasting with Explainable Meta-Learning(upcoming)
To be presented at the XLIII Encuentro de Economistas – BCRP, 2025. Model-agnostic system for adaptive macroeconomic forecasting using recursive introspection, with optional metadata integration and SHAP-based explainability.
Recursive IntrospectionVariable SelectionModel-AgnosticExplainable AI
2024
Neural Architecture and Hyperparameter Optimization of Time Series Forecasting Models with Tree Parzen Estimators(published)
Presented at XLII Encuentro de Economistas - BCRP, October 21, 2024. This work advanced previous designs by integrating probabilistic hyperparameter search methods...
Deep LearningForecastingOptimization
2024 Nowcasting-AI Workshops Drive(internal)
Presented at 2024 Nowcasting-AI Workshops @ BCRP
2023
Study of Artificial Intelligence Topologies for Forecasting(published)
Presented at the XLIBCRP Conference on AI in Economics, October 24, 2023...
AI in EconomicsNeural NetworksForecasting
2021
Kinetic Monte Carlo Modeling of MIL-53 Metal Organic Framework Crystal Growth(published)
Presented at the 2021 AIChE Annual Meeting
Monte CarloCrystal GrowthMOF
Thermodynamic Modeling of Competing Crystal Species from a MIL-53 MOF Reaction(published)
Presented at the 2021 AIChE Annual Meeting
ThermodynamicsCrystalMOF
2020
Monte Carlo Simulations of Hydrothermal MOF Crystal Growth(published)
Presented at the 2020 AIChE Annual Meeting
Monte CarloHydrothermalMOF
2019
Crystallization of MIL-53 MOFs through Hydrothermal Process(published)
Presented at the 2019 AIChE Annual Meeting
ExperimentalHydrothermalMOF