Max Möbus

Max Möbus

PhD student


ETH Zurich

About Me

I am working as a PhD student with Professor Christian Holz at the Sensing, Interaction & Perception Lab at ETH Zurich. My focus lies on applying statistics and statistical machine learning to large medical datasets.

Before joining ETH SIPLAB, I completed the MSc in Statistical Science at the University of Oxford and the BSc in Statistics at University College London (UCL). During my time at the University of Oxford, I worked as a Research Assistant with Dr. Matthias Qian and Professor Mari Sako, where I focused on constructing natural language processing (NLP) models for text classification.

Besides my studies, I interned in Data Analytics teams at tech companies (Amazon and Auto1 Group), in the Actuarial Science team at an insurance company (Talanx Group) and in Management Consulting (Process Excellence division) at Kienbaum Consultants International (now EY).

  • Statistical Machine Learning
  • Predictive Medicine & Mobile Health
  • Causal Inference
  • Natural Language Processing
  • MSc in Statistical Science, 2020-2021

    University of Oxford

  • BSc in Statistics, 2017-2020

    University College London (UCL)



Research Assistant
Oct 2021 – Mar 2022 Zurich, Switzerland
As a research assistant with Professor Christian Holz at ETH SIPLAB, I focused on the analysis of large medical datasets using statistics, statistical machine learning and causal inference.
Saïd Business School, University of Oxford
Research Assistant
Mar 2021 – Sep 2021 Oxford, United Kingdom
As a research assistant under Dr Matthias Qian and Professor Mari Sako, I constructed natural language processing (NLP) models and contributed to a text annotation tool to enable research about technical developments in the legal industry.



Business Analysis Intern
Jun 2020 – Sep 2020 London, United Kingdom
At Amazon, I interned in the European Transportation Team and developed automated statistical analytics tools, reporting systems and data pipelines to ensure that promised delivery times were met for 3bn packages per year.
Auto1 Group
Business Analytics Intern
Jun 2019 – Sep 2019 Berlin, Germany
At Auto1 Group, I interned in the Business Analytics team and built predictive models to forecast claim rates, developed a web app to create a more profitable product portfolio for the German market and helped redifining the sales strategy for 26 European countries by building KPI-Dashboards.
Talanx Group
Actuarial Science and Product Development Intern
Jul 2018 – Sep 2018 Düsseldorf, Germany
At Talanx Group, I interned in the Actuarial Science Team as well as the Product Development Team and supported at automating the calculations of costs and premiums for private savings and investemnt products.
Keinbaum Consultants International
Management Consulting Intern
Jan 2017 – Mar 2017 Düsseldorf, Germany
At Kienbaum, I interned in the Process Excellence division (now part of EY) consulting the management board of a world-leading metal fitting producer at rethinking its sales strategy as well as organisational structure.



Applied Statistics; Bayesian Methods; Statistical Machine Learning; Stochastic Methods used in Finance (Jump Processes)


Data Analytics incl. tidyverse; Modelling incl. caret; Data Visualisation incl. ggplot and RShiny


Data Analytics incl. pandas, numpy and scipy; Modelling incl. sklearn, tensorflow, keras and transformers (NLP models on CPU or GPU); Data Visualisation incl. seaborn and matplotlib


Infrastructure setup; ETL pipelines ready to feed directly in reports