Lisette Espín Noboa

Lisette Espín Noboa

Abteilung Computational Social Science
Team Data Science

Unter Sachsenhausen 6-8

50667
Köln
Tel.:+49 (221) 47694-207
Fax:+49 (221) 47694-199

Vita

Currently, I am pursuing my doctoral studies at the Data Science Group at the Computational Social Science Department at GESIS - Leibniz Institute for the Social Sciences, under the supervision of Markus Strohmaier. My research is focused on analyzing attributed networks to understand and explain edge formation using Bayesian inference.

In 2011, I decided to start a master's program, that is why I moved to Germany for pursuing my Masters at "Universität des Saarlandes" (Saarland University) where I specialized in data mining and information retrieval. In 2013 I joined the "Max Planck Institute for Software Systems" (MPI-SWS) for working on my Master's thesis under the supervision of  Krishna Gummadi. My experience at the MPI-SWS was very enriching. I worked together with other people who taught me how to become a better researcher, speaker and colleague.

Previously I got my Bachelor's degree (Engineer in Computer Science) at "Escuela Superior Politécnica del Litoral" (ESPOL) where I basically balanced my studies in software / hardware and theoretical / practical computer science. During this time I learned how to work under pressure and deadlines. I also joined "Centro de Tecnologías de Información" (CTI) where I worked as a research assistant and collaborated in several projects: such as SIDWeb (e-learning), Polimático (e-government) and miESPOL (social network / bachelor's thesis) supervised by Xavier Ochoa.

Forschung

Zeitschriftenaufsatz

Espín Noboa, Lisette, Florian Lemmerich, Markus Strohmaier, and Philipp Singer. 2017. "JANUS: A hypothesis-driven Bayesian approach for understanding edge formation in attributed multigraphs." Applied Network Science (2:16): 1-20. doi: http://dx.doi.org/10.1007/s41109-017-0036-1.

Beitrag im Sammelwerk

Espín Noboa, Lisette, Florian Lemmerich, Markus Strohmaier, and Philipp Singer. 2016. "A Hypotheses-driven Bayesian Approach for Understanding Edge Formation in Attributed Multigraphs." In Complex Networks & Their Applications V: Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016) , 693, 3-16.

Espín Noboa, Lisette, Florian Lemmerich, Philipp Singer, and Markus Strohmaier. 2016. "Discovering and Characterizing Mobility Patterns in Urban Spaces: A Study of Manhattan Taxi Data." In Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11-15, 2016, edited by Jacqueline Bourdeau, Jim Hendler, Roger Nkambou, Ian Horrocks, and Ben Y. Zhao, ACM 2016 Companion Volume, 537-542. New York: ACM. http://dl.acm.org/citation.cfm?doid=2872518.2890468.

Walk, Simon, Lisette Espín Noboa, Tania Tudorache, Mark A. Musen, and Markus Strohmaier. 2015. "Understanding How Users Edit Ontologies: Comparing Hypotheses About Four Real-World Projects." In The Semantic Web - ISWC 2015: 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I, edited by Marcelo Arenas, Óscar Corcho, Elena Simperl, and Markus Strohmaier, Lecture Notes in Computer Science 9366 9366, 551-568. Cham: Springer.

Konferenzbeitrag

Walk, Simon, Lisette Espín Noboa, Denis Helic, Markus Strohmaier, and Mark A. Musen. 2017. "How Users Explore Ontologies on the Web: A Study of NCBO's BioPortal Usage Logs." 26th International World Wide Web Conference, 2017, Perth, 03.04.2017. doi: http://dx.doi.org/10.1145/3038912.3052606. http://markusstrohmaier.info/documents/2017_WWW2017_bioportal.pdf.