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 Strategic Data Scientist and 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. From January 2022 to June 2022 Isabella joined the Alan Turing Institute for their Enrichment Scheme as part of her degree. Before, she gained degrees from the University of Oxford and the University of Vienna.
She has gained ample work experience spanning venture capital funding, insurance, marketing, and museum pedagogy. She also was a tutor for a variety of university courses (see Academic for detail).
Isabella 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.
She 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.