Victor Flores Terrazas
I’m a data scientist and consultant specializing in Bayesian modeling in Civil Engineering, currently focusing on applying machine learning to anomaly detection in mechanical systems. My work also explores how machine learning and Bayesian methods can provide clearer insights in engineering applications. When I’m not working with data, you’ll probably find me swimming, cooking, or listening to anything from black metal to Japanese jazz.
Session
Bayesian methods are not commonly seen in Civil Engineering and Structural Dynamics. In this talk we explore how RxInfer.jl and the Julia Programming Language can simplify Bayesian modeling by implementing a Kalman filter for tracking the dynamics of a structural system. Perfect for engineers, researchers, and data scientists eager to apply probabilistic modelling and Bayesian methods to real-world engineering challenges.