Berardino Barile Ph.D.

Current Roles and Affiliations

Research Scientist at McGill University & Mila (Montreal):

Berardino Barile is a research scientist in the Probabilistic Vision Group at McGill University, affiliated with the Centre for Intelligent Machines (CIM), and a researcher at Mila – Quebec’s AI Institute. He works under the supervision of Prof. Tal Arbel, with a focus on applying machine learning and computer vision methods to healthcare, economic and finance.

His work bridges academic research and real-world AI applications, driven by a passion for solving real-world problems using AI. At Mila, his research spans causality, computer vision, deep learning, and learning on graphs, reflecting a broad expertise in modern AI methods.

Previous Professional Experience

Data Analyst (Intern) at Johnson & Johnson Medical (MedTech), Italy (2013–2014): Worked on healthcare data analytics developping statistical models and mathematical optimization as first post-graduate experience following his M.Sc.

Education and Academic Background

His multilingual ability (Italian native, English advanced, French advanced, Spanish beginner) and international study/work experience in Italy, France, Belgium, and Canada highlight a global academic perspective.

Publications and Conference Contributions

• Barile B., et al. “Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome.” (Frontiers in Artificial Intelligence, 2023).
• Hamad A., A. Sormani, C. Collorone, B. Parisi, B. Barile, et al. “T1/T2 ratio: a quantitative sensitive marker of brain tissue integrity in multiple sclerosis.” NeuroImage: Clinical 35: 103069 (2022).
• Castaldo A., De Luca G., Barile B. “Does initial access to bank loans predict start-ups’ future default probability? Evidence from Italy.” Contemporary Economic Policy 39(1): 88–106 (2021).