Lisette Espín-Noboa is a PhD. candidate at the University of Koblenz-Landau and at the Computational Social Science department at GESIS. Her research interest is data science with a focus on the study of relational data including network inference, machine learning and human behavior

Lisette has done 3 internships in Academia. In winter 2017 she was a 2-month Visiting Student Researcher at the Biomedical Informatics Research Department (BMIR) at Stanford. She was also a 3-month Visiting Research Assistant at the Information Science Institute (ISI) of the University of Southern California (USC), in both summers 2017 and 2018. During her internships she studied the influence of semantic networks in online navigation, and the influence of sampling and network structure in relational classification.

Lisette got her Masters in Computer Science at the University of Saarland in Germany. During that time she joined the Max Planck Institute for Software Systems to work on her thesis on Online Social Network Analysis. Previously, she got her Engineering in Computer Science at Escuela Superior Politécnica del Litoral (ESPOL) in Ecuador where she specialized in relational databases and software development.
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