Isabella Deutsch
Applied Machine Learning Researcher @Danu Insights
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WORK HISTORY
Applied Machine Learning Researcher @Danu Insights
Edinburgh, GB
Joined Danu Insights, an early-stage, venture-funded tech startup in Edinburgh.75% of my time is spent doing cold, hard research and coding in Python (a lot of jax and numpyro)- all with a focus on Bayesian stats and Bayesian optimisation. The other 25% I do whatever is needed to make progress: design marketing packs, do user testing, draft branding guidelines, reach out to customers, conduct user interviews, discuss UI/UX design, make a landing page, lead our hiring process, order stickers. If it needs doing, I\'ll have done it.
EDUCATION
University of Vienna
Bachelor's degree, Statistics
University of Oxford
Master's degree, Statistical Science
The Alan Turing Institute
PhD Enrichment Scheme
The University of Edinburgh
Doctor of Philosophy - PhD, Statistics
Sir-Karl-Popper-Schule
Matura
University of Vienna
Bachelor's degree, Psychology
SKILLS
ABOUT ISABELLA DEUTSCH
I am a translator between people and data who thrives at the intersection of machine learning, Bayesian statistics, and solving problems that matter. My background spans both academia and industry, and I enjoy collaborating across disciplines to tackle messy, real-world questions.I am an Applied Machine Learning Researcher at Danu Insights, an early-stage venture-funded startup based in Edinburgh. 75% of my time is solving challenging problems with maths, stats, and code - lots of Bayesian approaches alround. The remaining 25% I do whatever is needed to make progress in a small company (e.g. designing marketing materials, reaching out to collaborators, discussing UI/UX design, leading our hiring process, ordering stickers). If it needs doing, I\'ll have done it.I hold a PhD in Statistics from the University of Edinburgh and a Masters in Statistical Science from the University of Oxford. I\'ve worked on everything from real-world smart data to product cannibalisation. I 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 speak at public science events like the Cabaret of Dangerous Ideas at the Edinburgh Fringe Festival and the Edinburgh Science Festival.
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