Artur Veloso

Senior Director/head Of Bioinformatics at Repare Therapeutics

Artur Veloso has extensive work experience in the field of bioinformatics. Artur began their career as a Graduate Student Research Assistant at the University of Michigan in 2009 and continued in this role until 2014. From there, they joined the Novartis Institutes for BioMedical Research, first as an Investigator I from December 2014 to September 2016, and then as an Investigator II from September 2016 to July 2018. Most recently, Artur has been working at Repare Therapeutics, where they started as a Senior Investigator in August 2018. Artur currently holds the position of Director/Head of Bioinformatics, starting in November 2020.

Artur Veloso has a strong educational background in the field of biology and bioinformatics. Artur completed their Bachelor of Science (BS) degree in Biology, General at the Universidade Federal de Minas Gerais in 2006. Artur then pursued a Master of Science (MS) degree in Marine Biology at the College of Charleston from 2006 to 2009.

Building on their expertise, Artur enrolled at the University of Michigan and simultaneously pursued a Master of Arts (M.A.) degree in Statistics and a Doctor of Philosophy (PhD) degree in Bioinformatics from 2009 to 2014. This multidisciplinary approach allowed him to further specialize in statistical analysis and apply it to the field of genomics.

In addition to their formal education, Artur has obtained various certifications related to machine learning and deep learning. In 2018, they completed several courses offered by Coursera, including Neural Networks and Deep Learning, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Structuring Machine Learning Projects, Convolutional Neural Networks, Sequence Models, and Deep Learning Specialization.

Overall, Artur Veloso's education and certifications demonstrate their strong foundation in biology, statistics, and bioinformatics, as well as their continuous efforts to stay updated with the latest advancements in machine learning and deep learning.

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