Faculty profile: Dr. Sofia Morales

Dr. Sofia Morales, a lecturer in quantitative analytics, specializes in machine learning model validation and applied volatility forecasting. She is a strong advocate for transparent peer review and model audit practices.

Dr. Sofia Morales is recognized for her research on machine learning model validation, with a special emphasis on practical peer review frameworks for volatility forecasting. Her publications explore the balance between model flexibility and explainability, addressing both technical rigor and real-world usability. She has contributed to international journals on risk analytics and algorithmic governance.

Her consulting practice spans Canadian and international financial institutions, where she supports the development and audit of advanced analytics teams. Dr. Morales is regularly involved in collaborative workshops that challenge established practices and promote open critique among practitioners.