Talks & Presentations
Curated record of talks and workshops, sorted by year.
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. 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 using Tree Parzen Estimators, enabling more efficient model selection under uncertainty.
2023
Study of Artificial Intelligence Topologies for Forecasting(published)
Presented at the XLII Encuentro de Economistas – BCRP, October 24, 2023. This paper compared multiple neural topologies for economic forecasting, including MLPs, CNNs, and transformer-inspired models, assessing trade-offs between complexity and predictive stability.
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.