Nattirat Mayer

Hi there !

I am a PhD candidate at Bureau of Theoretical and Applied Economics (BETA), University of Strasbourg, France.

My research interests:

Statistics and econometrics - Nonparametric, KDE, panel data analyses
Reinforcement learning - Off-policy, POMDP, MDP, decision making under uncertainty
Financial mathematics - Copula, time-varying Joe-Clayton copula
Statistical learning - Random forest, decision trees
Causal machine learning - Double/debiased machine learning, casual forest, AIPW
Renewable energy - Wind, solar, and weather analyses

Check out my works below

Mayer, N. (2026). "Cross-Fitting Approaches in Double Machine Learning for High-Frequency Panel Data". Working paper.

Mayer, N. (2025). "Quantifying Renewable Resource Uncertainty: A Nonparametric and Copula-Based Approach". Working paper.

Bachelor of Engineering (Aerospace)'s final year project (2017):

Design and optimization of a small turbine blade based on Blade Element Momentum Theory by Ansys, MATLAB, and SolidWorks

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