Bio

Markus is a PhD Student at UCL. He is supervised by Prof Paul Longley, Dr Franz Király and Dr James Cheshire. Previously he graduated at the top of his class from his Master’s degree in Philosophy & Economics at Bayreuth University (Germany). Since the start of his Master’s studies he has been deeply interested in empirical research and statistical methods. He completed extra online courses on machine learning, attended a data science summer school at the LSE, and took additional modules from his university’s computer science department. His dissertation research on empirical policy analysis led to a presentation at an academic conference and peer-reviewed publication in conjunction with his supervisors. He also holds a first-class BA Hons in Philosophy, Politics & Economics from Lancaster University.

Research interests

Markus’ research is on supervised learning with time series/panel data, i.e. observations on multiple independent individuals (e.g. customers, patients or machines) collected repeatedly over time. His research aims to

  1. Create a unified, practical and statistically solid workflow for modelling and evaluating supervised learning strategies with time series/panel data,
  2. Design and implement an open-source Python toolbox that allows to put the workflow into practice,
  3. Develop probabilistic supervised learning methods based on point process models for panel data with sequences of events with exact timestamps,
  4. Apply workflow to real-world datasets through ongoing industry collaborations, including the loyalty-card data from a UK high-street retailer (via the Consumer Data Research Centre) among others.