Jorge Caiado

Dr. Jorge Caiado is an Associate Professor with Aggregation at ISEG Lisbon School of Economics and Management (University of Lisbon). He specializes in Applied Mathematics, Data Science, and Financial Econometrics. He coordinates the Applied Artificial Intelligence and Machine Learning postgraduate program at ISEG Executive Education and is an integrated researcher at CEMAPRE (Center for Applied Mathematics in Economics and Finance).

Education:

• PhD in Applied Mathematics to Economics and Management (ISEG, 2006)
• Aggregation in Mathematics (Econometrics focus, 2021)
• Bachelor of Business Administration (Universidade Internacional, 1994)

Research Interests: Focus on machine learning, time series analysis, financial markets volatility modeling, and clustering techniques. Applies methods like GARCH models, VAR analysis, and spectral metrics to problems in economics, finance, and environmental policy. Recent work explores financial inclusion in Mozambique, global stock market dynamics, and demographic impacts on inflation.

Awards & Patents:

• 1st Prize SICO2007 (IEEE Computational Intelligence Society)
• US Patent for B2B Procurement Optimization

Professional Roles: Co-founder of tech startup GlobalSolver; visiting researcher at Universidad Carlos III de Madrid; consultant for central banks, financial institutions, and logistics companies. Served on ISEG’s research unit leadership.

Teaching: Teaches data science, econometrics, and quantitative methods at undergraduate and graduate levels. Courses include 'Data Science for Sustainability' and 'Machine Learning in Finance.'