Machine Learning – Kinetic Model Reduction – Combustion Modeling
Ana is pursuing a Master’s degree in Chemical Engineering and is currently developing a thesis focused on “Artificial Intelligence to Reduce Combustion Kinetic Models”. Her work explores the use of artificial intelligence and data-driven approaches to reduce the complexity of detailed kinetic combustion mechanisms, aiming to improve computational efficiency while preserving model accuracy. This research contributes to more efficient simulations in combustion and energy-related applications.
What else? She enjoys running and engaging in all kinds of creative, hands-on activities. She also likes to travel and unwind with a good book or music.