Guillermo Bernabó

Guillermo Bernabó has a diverse work experience in the field of data science and clinical science.

Guillermo most recently worked at Innovid as a Data Scientist starting in July 2021. Prior to that, they were a Data Scientist Specialist at Sanofi from October 2019 to June 2021.

Before transitioning to data science, Guillermo worked at Genzyme Argentina as a Clinical Science Associate from February 2015 to October 2019. In this role, they provided scientific advising to health professionals and contributed to educational programs on Multiple Sclerosis and innovative therapies.

Guillermo also has experience in research as a PHD Candidate at CONICET from April 2009 to December 2014. During this time, they focused on studying neurodegeneration and worked with the fruit fly as a model animal, utilizing various skills such as PCR, qPCR, Western Blotting, and confocal microscopy.

Overall, Guillermo has a strong background in both data science and clinical science, with expertise in various techniques and research methodologies.

Guillermo Bernabó's education history is as follows:

From 2000 to 2008, they attended the University of Buenos Aires and obtained a Licentiate degree in Cs Biológicas.

From 2009 to 2014, they continued their studies at the University of Buenos Aires and earned a Doctor of Philosophy - PhD degree in Biology, General.

In 2018, they completed a certification in Organización de Datos from Facultad de Ingeniería - UBA.

In 2020, they completed several certifications including "What is Data Science?", "Neural Networks and Deep Learning", "Open Source tools for Data Science", and "Python for Data Science and AI" from Coursera. Additionally, they obtained a certification in "Applied Social Network Analysis in Python".

In 2021, Guillermo completed a certification in "Python for Time Series Data Analysis" from Udemy.

Currently, Guillermo is pursuing a Master of Science - MS degree in Data Mining & Knowledge Discovery at the University of Buenos Aires, starting in 2022.