The world is complex, dynamic, multidimensional; the paper is static, flat. How are we to represent the rich visual world of experience and measurement on mere flatland?
– Edward R. Tufte
Isabella is a PhD Student at the University of Edinburgh at the School of Mathematics focusing on Bayesian statistics. Together with an industry partner she is investigating how products sell together. She focuses on self-exciting point processes (“Hawkes Processes”), particularly on their diverse application and interpretation.
Before, she gained degrees from the University of Vienna and the University of Oxford and collected ample work experience, from marketing to museum pedagogy. From January 2022 on Isabella will be joining the Alan Turing Institute for their Enrichment Scheme at the Leeds Institute for Data Analytics as part of her degree.
She firmly beliefs that we make better decisions when based on data – but only if the data is collected, analysed and presented correctly. Furthermore, she is interested in the broader scope of Data Science and the social and ethical questions that arise from our ever-improving methods.
Isabella also co-founded of the Piscopia Initiative to encourage women and non-binary students to consider a PhD in mathematics and currently serves as a student trustee on the board of directors of Edinburgh University Students’ Association.
Find the legal notice (Impressum) here.