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Marco Montefiori has a diverse work experience in the field of scientific research. Marco began their career as a PhD researcher at Københavns Universitet, where they focused on developing computer models for predicting interactions between drug candidates and enzymes. This project was part of the AriADME Marie Skłodowska-Curie Initial Training Network.

After completing their PhD, Marco worked as a postdoctorate researcher at Consiglio Nazionale delle Ricerche, where they furthered their research in the field. Marco then joined Università degli Studi di Milano as a postdoctoral researcher, continuing their work in scientific research.

Currently, Marco is employed at Ichnos Sciences as a Principal Scientist. Prior to this role, they held the position of Senior Investigator at the same company. Their responsibilities at Ichnos Sciences include using computational techniques such as MD, Metadynamics, and protein-protein docking for scientific research purposes.

Overall, Marco Montefiori has gained significant experience and expertise in scientific research, particularly in computational methods and drug interactions.

Marco Montefiori completed their education with the following qualifications:

- Marco obtained their Doctor of Philosophy (PhD) degree in Computational Drug Design and Pharmacology from Københavns Universitet - University of Copenhagen, from 2014 to 2018.

- Prior to that, they completed their Master of Science (M.S.) degree in Bioinformatics from Università degli Studi di Milano-Bicocca, from 2010 to 2013.

- Marco also holds a degree in Biotecnologie (Biotechnology) from Università degli Studi di Milano-Bicocca, from 2006 to 2012.

- Additionally, they earned a Master of Science (MS) degree in Bioinformatics from Università degli Studi di Milano-Bicocca, although the specific years are not provided.

Furthermore, Marco has obtained several certifications from Coursera, including "Structuring Machine Learning Projects," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Neural Networks and Deep Learning," "Programming for Everybody (Getting Started with Python)," "An Introduction to Interactive Programming in Python (Part 2)," and "An Introduction to Interactive Programming in Python (Part 1)." The specific months of obtaining these certifications are not specified, but they were earned in the years 2015, 2018, and 2019.