About Me

I am an interdisciplinary scientist with undergraduate, graduate, and postgraduate education in law and computer science. Inter alia, I hold PhDs in both subjects, writing my first thesis on Legal Network Science at the Max Planck Institute for Tax Law and Public Finance (Dr. iur., 2018, summa cum laude) and my second thesis on Exploring Graphs in Many Dimensions at the Max Planck Institute for Informatics (Dr. rer. nat., 2023, summa cum laude).

The overarching goal of my research is to understand how we can combine code, data, and law to better model, measure, and manage complex systems (such as contemporary information societies). To this end, I explore novel ways of connecting computer science and law, such as using algorithms to collect and analyze legal data as networks or formalizing and implementing legal and mathematical desiderata for responsible data-centric machine learning with graphs.

Currently, I am a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology and the Stockholm Resilience Center, a Fellow at the Bucerius Center for Legal Technology and Data Science, and a Guest Researcher at the Max Planck Institute for Informatics and the Max Planck Institute for Tax Law and Public Finance. I will be joining Aalto University as an Assistant Professor of Computer Science in September 2024.

Short Bio (3rd Person)

Corinna studied law at Bucerius Law School and Stanford Law School, completing their First State Exam in Hamburg in 2015. They obtained a PhD in law (Dr. iur.) from Bucerius Law School and a BSc in computer science from LMU Munich, both in 2018, as well as an MSc in computer science in 2020 and a PhD in computer science (Dr. rer. nat.) in 2023, both from Saarland University. Their legal dissertation was awarded the Bucerius Dissertation Award in 2018 and the Otto Hahn Medal of the Max Planck Society in 2020, and their interdisciplinary research profile was recognized by the Caroline von Humboldt Prize for outstanding female junior scientists in 2022.


Digital Futures Postdoctoral Fellowship, KTH Royal Institute of Technology and Stockholm Resilience Center
Best Reviewer Award, Learning on Graphs Conference (LoG)
Outstanding Reviewer Recognition, NeurIPS: Datasets & Benchmarks Track
Caroline von Humboldt Prize for Outstanding Female Junior Scientists, Humboldt University Berlin
Otto Hahn Medal for Outstanding Scientific Achievments, Max Planck Society
Best Dissertation Award, Bucerius Law School