Stavros Stavroglou

Stavros Stavroglou is an Assistant Professor in Credit Risk and Fin Tech at the University of Edinburgh Business School, specializing in Management Science and Business Economics. He leads research in complex systems, causality networks, and AI-driven financial modeling with significant industry applications.

His educational background includes a PhD and MRes in Applied Mathematics and Decision Making from the University of Liverpool (funded by EPSRC-ESRC scholarships), and MSc and BSc in Mathematics from Aristotle University of Thessaloniki (under full IKY Scholarships). He was a visiting scholar at California Institute of Technology and won the Best PhD Thesis award in 2020 from the University of Liverpool.

Stavros specializes in designing and developing applications with AI Foundation models, quantitative and qualitative modeling, and real-time forecasting. His research focuses on uncovering hidden causal relationships in complex systems, particularly in financial markets. He has developed innovative methodologies including Pattern Causality for time series analysis, PillarScape Assembler for deep-future forecasting, and P-mo for LLM enhancement in financial contexts. His work bridges academic innovation with practical market applications, consistently delivering profitable insights through data-driven approaches.

His four major publications in PNAS and Risk Analysis demonstrate his expertise in causal analysis of complex financial systems. These works have established him as a leading researcher in pattern causality and financial network analysis, with his methods being implemented in Python and R packages used by researchers worldwide.

• Best PhD Thesis 2020, University of Liverpool
• Trading Competition Winner 2018

As Research Director, Stavros supervises PhD students in AI, East Asian Economies, Statistics, and Econometrics, as well as MSc students in Quantitative Finance, Risk Management, and Credit Scoring. He has raised £600,000 for R&D in data-driven technologies for portfolio management. He is the Co-Organizer of the annual Quantitative Finance and Risk Analysis (QFRA) international symposium, which has been held in various Greek islands since 2018.

Stavros maintains an extensive professional network with academics at Stanford, Oxford, Peking, Fudan, Boston, Monash, Caltech, and UCI Irvine, as well as senior professionals at firms like ETPA and JPMorgan Chase & Co. His research fingerprint spans Engineering (Policy Maker, Embedded Information, Decision Maker), Economics (Financial Market, Credit Derivative), and Computer Science domains.