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
Dr Isabella Deutsch is a Data Scientist and Statistician. She is a translator between people and data who thrives at the intersection of machine learning, Bayesian statistics, and solving problems that matter. Her background spans both academia and industry, and she enjoys collaborating across disciplines to tackle messy, real-world questions.
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 has now joined an early-stage venture-funded tech startup in Edinburgh as an Applied Machine Learning Researcher.
She got her PhD in Statistics from the University of Edinburgh at the School of Mathematics. Together with an industry partner she is investigated how products sell together. She focused on self-exciting point processes (“Hawkes Processes”), particularly on their diverse application and interpretation. In 2022, Isabella joined the Alan Turing Institute for their Enrichment Scheme as part of her degree. She also holds a Master’s degree from University of Oxford and a Bachelor’s degree from University of Vienna.
Isabella co-founded the Piscopia Initiative to encourage women and non-binary students to consider a PhD in mathematics, served as a trustee for a charity with a multi-million pound budget, and regularly speaks at public science events like the Cabaret of Dangerous Ideas at the Edinburgh Fringe Festival and the Edinburgh Science Festival.
Find the legal notice (Impressum) here.
Isabella Deutsch 