Valentina Arce España

Senior Mechatronics Engineering student focused on the intersection of Machine Learning and Avionics.

Currently working on the development of prediction and prognostics systems for air precision applications, applying physics-informed AI models to real-world engineering data.

My work includes failure prediction in turbofan engines using datasets such as N-CMAPSS, with the goal of improving reliability and performance in aerospace systems — leveraging interpretability techniques to ensure AI-driven decisions are transparent, trustworthy, and safe for critical flight environments.
I am particularly interested in bridging the gap between mechanical systems and intelligent algorithms to build the next generation of resilient, data-driven flight technologies.