ML/DL Research Meets Real World Implementations
Manuel Morales, PhD, is Senior AI Advisor to Neu.ro, focusing on finance, banking and Fintech. Professor Morales brings extensive experience in both research and applied ML to the Neu.ro team.
He serves as an Associate Professor of Financial & Actuarial Mathematics in the Department of Mathematics and Statistics at the University of Montreal, where his current research interests include Applied ML in banking and in responsible investment.
Formerly, Professor Morales served as Chief AI Scientist at the National Bank of Canada, where he led the scientific efforts of the bank’s strategy to leverage AI technologies across all verticals. While playing a leading role in the AI transformation initiative of the bank, he had the opportunity to work on a wide variety of projects from wealth management to retail banking applications.
The Fin-ML network or Machine Learning in Finance, was created to develop the global competitiveness of the Canadian finance sector by promoting and supporting the development and use of innovative information technology processes and solutions in the field of innovative machine learning technology in quantitative finance and financial business analytics.
Manuel’s research interests include Representation Learning in banking, Deep Learning methods in high frequency market surveillance, explainability in the context of model governance and leveraging alternative data to assess environmental, societal and governance (ESG) factors in the context of responsible investment