Tomás Martínez Ostormujof

Tomás Martínez Ostormujof is a researcher specializing in Artificial Intelligence at ArcelorMittal since August 2023, focusing on the development of advanced Computer Vision and Deep Learning solutions for image analysis. Previously, as a PhD candidate in Materials Science at LEM3 - UMR CNRS n° 7239 from October 2019 to December 2022, Tomás investigated advanced orientation microscopy techniques for analyzing phase transformation microstructures in steels, employing various methodologies such as supervised and unsupervised machine learning models, programming in Python, and data visualization. Tomás also served as an R&D Engineer at Dillinger in 2018, where a Machine Learning algorithm was developed for classifying second phases in ferritic steels. Academic qualifications include a PhD in Materials Science from Universite de Lorraine, a Data Scientist certification from DataScientest.com, and a Materials Engineer degree from Universidad Nacional de Mar del Plata, complemented by a Master's level study at Universität des Saarlandes.