About Me

I am an Assistant Professor of Computer Science at Aalto University, where I lead the Telos Lab conducting research in the intersection of law, computer science, and complex systems. I am also a Guest Researcher at the Max Planck Institute for Informatics, a Research Affiliate at the Max Planck Institute for Tax Law and Public Finance, and a member of ELLIS.

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 (e.g., 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 particularly interested in computational legal theory – i.e., (1) designing computational methods to build a data-driven theory of legal systems and (2) understanding legal systems as computational systems – with implications for how we approach challenges like regulating AI, protecting democratic institutions, and realizing the sustainability transition.

My interdisciplinary research is enabled by my undergraduate, graduate, and postgraduate education in law and computer science. Inter alia, I hold PhDs in both subjects, having written 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).

Working with Me

I am always looking for curious minds to work with.
Interdisciplinary backgrounds and nonstandard trajectories are welcome.

If you would like to collaborate, visit, intern, or join my lab for a postdoc, PhD, (under)graduate thesis, or semester project, feel free to email me. As a student, make sure to enclose (1) your full transcript, (2) your CV, and (3) a succinct and LLM-free description of your motivation (I will not respond to inquiries that do not meet these criteria). If you are a student applying in the context of a specific call, please follow the application guidelines of that call.

I will write more about what to expect on my lab website (ETA: t + 1). In a nutshell, I take a scientific approach to everything, including running my lab. My approach to leadership in academia is informed by this excellent book.

Awards

2023
Digital Futures Postdoctoral Fellowship, KTH Royal Institute of Technology and Stockholm Resilience Center
2022
Best Reviewer Award, Learning on Graphs Conference (LoG)
2022
Outstanding Reviewer Recognition, NeurIPS: Datasets & Benchmarks Track
2022
Caroline von Humboldt Prize for Outstanding Female Junior Scientists, Humboldt University Berlin
2020
Otto Hahn Medal for Outstanding Scientific Achievements, Max Planck Society
2018
Best Dissertation Award, Bucerius Law School