Dr Serhat Ugurlu is a Technical Adviser on Econometrics and Data Science, and brings with him ten years of experience as an academic researcher and economic practitioner. He works as a technical lead in projects across different domains, and leads the design and delivery of projects’ analytical outputs, including their data pipelines, modelling, and visualisation. His main focus is designing econometric and data science workflows that resolve causal or predictive analytical challenges.
Serhat’s prior academic work focuses on heterogeneity in consumer behaviour, developing economic measures that account for this heterogeneity, and calculating metrics consistent with such heterogeneity using machine learning methods and big data. In particular, he worked on how some AI methods can be combined with economic models to uncover causal effects more flexibly and with fewer assumptions. His research is published in a peer-reviewed journal and he acted as a referee for the Scandinavian Journal of Economics.
Serhat speaks English.
Tel: +44 (0) 20 7776 6601
Serhat's specialisms include:
- Transport
- Analytics and Data Science
