Every summer, CSH opens its doors to a new group of talented students eager to trade their summer break for a hands-on exploration of the science of complex systems.
This year’s interns bring diverse perspectives from a range of disciplines and countries, spending their weeks working alongside our researchers on real projects, from supply networks and network medicine to – and that’s a first for us – developing a workshop on complexity for kids.
Meet this year’s interns:
Hi, I’m Emilia. I’m currently finishing my degree in psychology at the University of Vienna, and I particularly love applying computational methods to better understand human behavior.
At CSH I will be working with Miruna Cotet, Mirta Galesic, and Henrik Olsson on designing an LLM-based intervention targeting pseudoscientific beliefs. We are deriving our predictions from a belief network framework and then testing them with human participants. Excited for the next three months!
Hello, I’m Luca. I’m a master’s student in Mathematical Engineering at Politecnico di Milano, interested in network science and what it can reveal about hidden structures in complex data.
At CSH, I’m an intern in the Healthcare & Medicine group, where I’ll spend the summer analyzing a new dataset to explore sex-specific differences in the efficacy and outcomes of GLP-1 receptor agonist therapies for obesity and type 2 diabetes.
Hi, my name is Marlene. I have a background in psychology and professional experience as a Learning & Development specialist. Currently, I am pursuing a master’s degree in cognitive science at the University of Vienna.
As my internship project, I am creating a workshop for kids that aims to make the abstract concept of complexity tangible in a playful way and spark curiosity. I would like for them to see that our world is complex and understand that it matters to pay attention to this complexity to find solutions for a better world.
Hi! My name is Javier. My educational background is in engineering, economics and finance, and I got started working on networks for European trade and banking policy.
I’m now a Summer Intern at the Supply Chain Science group, working with Leonardo Ialongo on the computation of impulse response functions of a generative degree model trained on international trade data.
Hi, I’m Francesca. I’m finishing my Master’s in Physics in Palermo, and I’m interested in using network science and data-driven methods to model complex systems and understand the mechanisms behind their behavior.
At CSH, I’m interning with the Supply Chain Science group on counterfactual time series for graph dynamics, where I generate and validate alternative network trajectories to study how external events reshape networks over time.
Hello, my name is Amir! I hold a bachelor’s degree in Industrial Engineering from the University of Tehran and I am currently pursuing a master’s degree in Data Science at TU Wien.
During my summer internship at the Complexity Science Hub, I work with Elma Dervic in the Healthcare and Medicine group, analyzing hospital pathways to understand how mental disorders may affect cancer diagnosis, treatment, and patient care.
Hi, my name is Ariane. I have a background in graphic and information design, with an interest in connecting visualization, theory and research. I am now studying for a master’s degree of Digital Humanities, allowing me to take a very interdisciplinary approach to my work.
In my project, “science of science,” I can further explore the intersections of the fields while experimenting with a hands-on approach to data visualization: I’m working on an interactive data installation for the 10th anniversary of CSH.
Hi, my name is Dominik. I am currently pursuing my undergraduate degree in Physics at Durham University.
At CSH, I work on supply chain science, focusing specifically on the building blocks of production networks. The project aims to better understand the true heterogeneity of production networks by applying statistical methods to identify elementary production “recipes.”
Hello, my name is Jenny! I am pursuing a Master’s degree in Statistics – Probability – Mathematics in Economics at TU Wien. I am interested in interpretable statistical methods and their applications to complex systems.
This summer, I am working in the Supply Chain Science group on the project “Building blocks of Production Networks”, where I focus on inferential methods to uncover latent structure in production technologies from production networks.
Hi, I’m Hannah! I’m an undergraduate from the U.S. entering my final year at Princeton University in the Operations Research and Financial Engineering (ORFE) department.
This summer, under the guidance of Eddie Lee in the Foundations group, I am analyzing U.S. campaign finance networks. Specifically, I use a Markov chain framework to quantify entities’ political leaning and the network structures underlying bi-polarized politics.
