David Felipe Leguizamo

Title: David Felipe Leguizamo: Inventor of Machine-Learning-Based Flight Data Estimation.

Introduction

David Felipe Leguizamo is an inventor based in Seattle, Washington, and works at The Boeing Company. His patent work addresses the use of machine learning to estimate aircraft flight data parameters.

Latest Patents

Leguizamo is named on 1 patent: “Machine-learning-based flight data parameter estimation.” The invention describes an aircraft equipped with airstream sensors that measure a range of parameters. Processors use data representing two or more airstream parameters as input to multiple machine-learning regression models, each of which estimates a flight data parameter. An ensembler combines outputs from at least two models into a unified estimate. The system then compares that estimate with a value computed procedurally and generates an output based on the comparison.

Career Highlights

Leguizamo’s listed patent reflects work at the intersection of aircraft sensing, machine-learning models, and flight-data estimation. The disclosed approach combines estimates from multiple models and compares the combined result with a procedurally computed value.

Collaborations

The patent identifies The Boeing Company as Leguizamo’s company affiliation. The available information does not specify additional collaborators.

Conclusion

David Felipe Leguizamo’s patent describes a machine-learning approach to estimating flight data by combining model outputs and comparing the result with a procedural calculation.