Martin Wiegand

Working with a multidisciplinary group, I investigated the effect of conservative oxygenation strategies in critically ill children of different ethnicities and lung functions using trial data. I also provided statistical methodology advice, trial design, sample sizes, and suitability of funding streams to clients as a quantitative expert and general advisor.

In an experiment, I exposed survey participants to social media misinformation to determine the impact of false narratives on Covid-19 vaccine hesitancy, attitudes towards climate change, and democratic political values. This involved analyzing participant responses and drawing conclusions on the influence of online misinformation.

My initial project focused on improving statistical methodology to predict delirium onset in critical care patients. With the pandemic, my responsibilities shifted to collaborating with clinical staff to generate and verify medical hypotheses and developing dynamic predictive models for COVID-19 patient outcomes.

As a Doctoral Researcher, I worked as a Research Assistant with the Economics and Risk Management group. My collaborative project focused on estimating option prices during my PhD studies.

Undertook doctoral research with the 'Extreme Value Theory and Distribution Theory' group. Thesis focused on 'Advances in the Applications of Distribution Theory: Improvements on Rank-Size Distributions and in Signal Processing'.

Completed a Master's degree in Mathematics with a focus on statistics and computational statistics. Applied these skills in economics and medical sciences, culminating in a thesis on 'High Quantile Risk Estimation' in collaboration with Deutsche Börse AG.

Obtained a Bachelor's degree in Mathematics, specializing in numerical mathematics. Thesis work involved 'Formulations of the acoustic Wave Equation'.