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Ignacio Fabre, PhD has a diverse work experience in various roles and organizations. Ignacio currently holds the position of Head of Innovation at Rather Labs, Inc since September 2022. Ignacio is also the Head of Labs at Membrane, a position they have held since September 2022, where they lead three squads dedicated to integrations, smart contract R&D, and lean development of PoCs and MVPs with a focus on innovation, speed, and impact.

Prior to these roles, Dr. Fabre served as a Machine Learning Professor at Universidad Nacional de San Martín since July 2022. Ignacio has also worked at Mercado Libre, where they were a Sr. Data Science Engineer from January 2022 to September 2022, and a Data Science Engineer from November 2020 to December 2021. In these positions, they were responsible for designing and building real-time algorithmic sorting systems for special listings, developing recommendation systems for real estate classifieds, and designing personalization models for algorithmic sorting engines.

During their time as a Doctoral Researcher at Consejo Nacional de Investigaciones Científicas y Técnicas, from April 2016 to November 2020, Dr. Fabre worked on precision calculations for Higgs phenomenology at CERN's Large Hadron Collider (LHC). Ignacio has presented their research results in top-journal articles and international conferences.

Dr. Fabre has also served as a Teaching Assistant at Universidad Nacional de San Martín from April 2016 to July 2020, as a Doctoral Researcher and Teacher Assistant at Universität Zürich | University of Zurich from February 2019 to January 2020, a Teaching Assistant at Universidad de Buenos Aires from August 2017 to July 2018, and as a Summer Research Student at CERN from June 2015 to August 2015, where they were involved in the development of numerical interpolation techniques for circular accelerators.

Overall, Dr. Ignacio Fabre's work experience spans academia, data science, research, and innovation, with a strong focus on machine learning, algorithmic sorting, and precision calculations.

Ignacio Fabre, PhD has an impressive education history in the field of physics. Ignacio began their academic journey in 2010 at the Universidad Nacional de Córdoba, where they pursued a Licenciatura in Physics. Ignacio successfully completed their undergraduate studies in 2012.

Following their bachelor's degree, Ignacio Fabre continued their education at the Instituto Balseiro. From 2012 to 2014, they pursued a Licenciatura in Physics, further expanding their knowledge in the field.

In 2014 and 2015, Ignacio Fabre attended the Instituto Balseiro once again, this time to pursue a Ms. Sc. in Atomic Physics. Ignacio'sstudies focused on the intricacies of atomic physics, adding a new dimension to their academic background.

Ignacio'sdetermination and passion for physics led him to pursue a Doctorate degree. Ignacio Fabre joined the Universidad Nacional de San Martín in 2016 to begin their Doctor of Philosophy (PhD) program in Elementary Particle Physics. Ignacio'sresearch in this field continued until 2020, demonstrating their commitment and expertise in the subject.

Not only did Ignacio Fabre excel in their PhD studies, but they also undertook a parallel doctoral program at the University of Zurich. From 2018 to 2020, they pursued a Doktor der Naturwissenschaft (PhD) in Theoretical Particle Physics, further expanding their knowledge and expertise.

In addition to their formal education, Ignacio Fabre has also obtained certifications in specialized fields. In July 2020, they obtained a Deep Learning Specialization from DeepLearning.AI. In May 2020, they also received certification in Structuring Machine Learning Projects from Coursera.

Overall, Ignacio Fabre's education history reflects their dedication to physics and their continuous pursuit of knowledge. Ignacio'sextensive academic background, including multiple degrees and certifications, showcases their expertise in various areas within the field.