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Stavros Stavroglou

@stavrosstavroglou

Assistant Professor at the University of Edinburgh Business School who designed four MSc courses and built EduForge, a course-generation platform governed by 39 quality rules.

United Kingdom

Message

At the University of Edinburgh Business School, I designed four MSc courses that pair story-led lectures with hands-on Jupyter notebooks using live market and macroeconomic data. Course evaluations were 4.45 to 4.80 out of 5 in 2025/26, and I received the Professor Excellence Award in 2024, 2025 and 2026.

I built EduForge, an AI course-generation platform governed by 39 explicit quality rules, and used it to produce three complete MSc courses with slides, notebooks and assessments. As the rule set grew, the builds needed for a production-ready week fell from about 15 to about 2.

My work also spans research software and applied analytics. I led the team behind the Pattern Causality Python and R packages, and built a forecasting comparison and public forecast-arena harness; earlier, I co-founded Prediction Tech and built demand forecasts for nine luxury hotel brands.

Experience

Work history, roles, and key accomplishments

Current

Assistant Professor in FinTech

Current

University of Edinburgh Business School

Feb 2022 - Present (4 years 8 months)

Designed four MSc courses in quantitative subjects, each with story-led lectures and hands-on Jupyter notebooks on live data. Currently leading tutors and teaching assistants, supervising PhD students, and redesigning the MSc in Banking Innovation and Risk Analytics.

Course Design Assessment Design Jupyter Python R SQL C++LaTeX Beamer Git GitHub Actions AI Coding Assistants Machine Learning Quantitative Finance Risk Management

Senior Research Fellow

Monash University

Feb 2020 - Jan 2022 (1 year 11 months)

Led an international collaboration on a risk-based decision framework for pandemic policy and advised local government in Melbourne on the resulting framework.

Risk Analysis Decision Frameworks Policy Advisory Research Leadership

Artificial Intelligence Consultant

Mind.AI

Jul 2019 - Jan 2020 (6 months)

Built the order logic of an inventory decision system for a supermarket chain in Thailand, gathered client requirements, and trained the team on the dashboard. Client reported 40% fewer out-of-stock items in the pilot.

AI Inventory Management Requirements Gathering Dashboard Training Python

Data Scientist

Financial Network Analytics (FNA)

Oct 2018 - Mar 2019 (5 months)

Worked with the CEO on machine-learning SaaS modules and with customers on requirements and handover. Built an end-to-end analytics product with AWS integration for a German investment bank.

Machine Learning SaaS AWS Analytics Requirements Gathering Python

CEO and Co-founder

Prediction Tech

Apr 2013 - Sep 2017 (4 years 5 months)

Co-founded and ran a three-person predictive-analytics consultancy, helping firms adopt data-driven predictive methods. Built demand forecasts for nine luxury hotel brands using causal inference and network methods.

Predictive Analytics Causal Inference Network Methods Demand Forecasting Leadership entrepreneurship