Summary
Lisette Espín-noboa is a postdoctoral researcher in Vienna with a decade of experience at the intersection of Network Science and Computational Social Science. She studies how network structures shape sampling, relational classification, and human behavior, and currently focuses on defining fairness notions for social networks to inform equitable decision-making. Her work bridges rigorous computational methods and real-world applications for cities and institutions, aiming to translate patterns of crowd interaction into implementable solutions. Trained with a PhD in Computer Science and advanced degrees from Universität des Saarlandes and Escuela Superior Politécnica del Litoral, she blends strong technical foundations with applied research. Beyond academia, she brings enduring community engagement as a longtime Zumba instructor, reflecting a practical, people-centered perspective on collective behavior.
10 years of coding experience
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Koblenz and Landau
Máster, Computer Science, Máster, Computer Science at Universität des Saarlandes
Engineer in Computer Science, Technology Systems, Engineer in Computer Science, Technology Systems at Escuela Superior Politécnica del Litoral
Spanish, English, German