2025
Guided Variable Selection for Economic Forecasting with Explainable Meta-Learning(accepted)
Accepted for presentation at the XLIII Encuentro de Economistas – BCRP 2025 (PUCP, Sala de Audiencias). Session 20: Sesión metodológica. Wednesday, October 22, 10:45–12:15. Commentator/Moderator: Pavel Coronado (PUCP). Coauthored with Marco Vega (BCRP). The paper introduces a meta-learning framework for guided variable selection in large-scale macroeconomic forecasting, addressing extreme combinatorial search challenges with model-agnostic explainability.
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...
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...
2021
Kinetic Monte Carlo Modeling of MIL-53 Metal Organic Framework Crystal Growth(published)
Presented at the 2021 AIChE Annual Meeting
Thermodynamic Modeling of Competing Crystal Species from a MIL-53 MOF Reaction(published)
Presented at the 2021 AIChE Annual Meeting
2020
Monte Carlo Simulations of Hydrothermal MOF Crystal Growth(published)
Presented at the 2020 AIChE Annual Meeting
2019
Crystallization of MIL-53 MOFs through Hydrothermal Process(published)
Presented at the 2019 AIChE Annual Meeting