:probabl.
Stefanie Senger, PhD, is a seasoned professional with a diverse background in academia, data science, and journalism. With experience in software engineering, data science, mentoring, and public administration, Stefanie has a strong foundation in research and management. Holding degrees in Contemporary History, Research Management, and a Magistra Artium in History, Political Science, and Spanish Philology, Stefanie's expertise spans across various fields. Through their roles at different organizations such as Le Wagon, scikit-learn, and Psychotherapeutenkammer Berlin, Stefanie has excelled in teaching, mentoring, and project management. Furthermore, their freelance journalism experience at Märkische Allgemeine Zeitung showcases their excellent communication and writing skills.
This person is not in any offices
:probabl.
Probabilities are at the core of every decision we make, never quite perfect, often incomplete. In fact, our view of the world’s digital twin is made of many digits with floating points, neither black and white nor binary, mostly filled with deep gradients. Knowledge is at your fingertips, yet trapped inside. Once the data model fits, because we can explain, you can therefore infer and act. Our brand, our logo, the three dots… it’s all in there. Welcome to :probabl.