Karolos Korkas

Dr. Karolos Korkas is a Senior Lecturer in Data Science at the University of Greenwich's School of Computing and Mathematical Sciences, within the Faculty of Engineering and Science. His academic career is complemented by industry experience in electronic trading, risk management, and modeling at major banking institutions. He holds a PhD in Statistics from the London School of Economics (LSE), alongside advanced degrees in Statistics (LSE), Finance and Investment (Durham University), and Business Management (ASOEE). He was a Fellow in Finance at LSE's Department of Finance.

Education:

• BA in Business Management (Information Systems), ASOEE
• MSc in Finance and Investment, Durham University Business School
• MSc in Statistics, London School of Economics (LSE)
• PhD in Statistics, LSE (funded by EPSRC)

Research Interests: Dr. Korkas focuses on statistical methodologies for nonstationary time series, financial risk modeling, and computational approaches to change-point detection. His work bridges theoretical advancements in data science with practical applications in finance and risk management. Key areas include high-dimensional GARCH processes, volatility forecasting, and algorithmic segmentation techniques.

Publications: His research emphasizes innovative statistical tools for analyzing dynamic systems, particularly in financial contexts. Recent work explores ensemble segmentation for irregular data, adaptive estimation in autoregressive models, and CAPM applications to industry portfolios.

Awards:

• EPSRC PhD Scholarship

Roles & Contributions: As a Senior Lecturer, he integrates academic rigor with industry insights. His prior fellowship at LSE highlights his engagement with financial academia. He has no listed grants or advising roles in available texts.

Labs/Teams: No specific lab affiliations or collaborative teams are detailed in provided information.