R Package: GeomComb

The R package GeomComb for geometric forecast combination (co-authored with Gernot Roetzer from Trinity College Dublin) is now available via Github.

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U.K. Inflation Forecast

A recent research paper (co-authored with Paul Kattuman) shows how a two-stage decomposition of UK RPI can shed light on the dynamics of the inflation process and improve forecasting accuracy.

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Healthcare Demand

The current research project (in collaboration with a hospital) focuses on exploring the value of disaggregated healthcare demand forecasting for staffing optimization.

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Chris is a final-year Ph.D. student in Econometrics at Judge Business School - University of Cambridge. He holds an M.Phil. degree in Finance from the University of Cambridge and an M.Sc. degree in Applied Statistics from the University of Oxford. He received his Bachelor's degree in Business Studies, specializing in Operations Research, from the Vienna University of Economics and Business.

Chris' research is of applied nature - he is working with, and further developing, state-of-the-art time series and machine learning methods in order to solve practical problems in industry applications. His research projects span a wide range of fields, such as Finance, Official Statistics, Healthcare, as well as Product and Technology Innovation. He is passionate about data science, the science - and art - of extracting hidden useful information from datasets.



Get in touch if...

...you are a researcher interested in discussing or collaborating on forecasting topics.

...you are interested in applying state-of-the-art data analysis.