PhD. in Computer Science
In 2021, I finished my PhD. in Computer Science at the University of Koblenz in Germany*. Prior to this, I was a Research Assistant at GESIS - The Leibniz Institute for the Social Sciences where I joined the Data Science group at the Computational Social Science Department. I worked together with my supervisors Claudia Wagner and Markus Strohmaier. During this time I also had the privilege of working together with Fariba Karimi, Florian Lemmerich and Philipp Singer.
* The defense of my thesis "Edge Formation and its Influence on Machine Learning" is planned by early 2021.
Master in Computer Science
In 2014, I got my Master's of Science (Computer Science) degree at the University of Saarland in Saarbrücken, Germany, where I expanded my knowledge in Information Retrieval, Data mining and Databases. I joined the Max Planck Institute for Software Systems in 2013 to work on my Master's thesis where I leveraged user attributes and behaviors in order to discover topical context in conversations from Twitter. I worked together with my supervisor Krishna Gummadi and colleagues Juhi Kulshrestha, Bilal Zafar and Saptarshi Gosh.
Engineer in Computer Science
In 2010, I got my Engineer's degree in Computer Science at Escuela Superior Politécnica del Litoral in Guayaquil, Ecuador where my major studies were focused on Software Engineering, Programming and Human-Computer Interaction. I joined Centro de Tecnologias de Informacion (CTI) as a developer and research assistant to work in several projects including my bachelor's thesis, an Online Social Network based on Liferay, under the supervision of Xavier Ochoa. During this time I also launched my own software development company neoBOX S.A., where I was the President and CTO until 2020.
During summer 2018, I did a second internship at the Information Science Institute (ISI) of the University of Southern California (USC). I worked together with Kristina Lerman, Xin-Zeng Wu (Misha) and Buddhika Nettasinghe. Our project focused on the study of network biases in relational classification (e.g., network properties such as assortativity, homophily, density, friendship paradox, majority illusion, that could potentially affect classification).
In summer 2017, I was a 3-month Visiting Research Assistant at the Information Science Institute (ISI) of the University of Southern California (USC). I worked together with Kristina Lerman and Peter Fennell on analyzing the influence of sampling in relational classification.
In January 2017 I was a 2-month Visiting Student Researcher at the Biomedical Informatics Research department (BMIR) at Stanford. I worked on leveraging server logs (users actions through clicks and API requests) to model semantic foraging in BioPortal, a repository of biomedical ontologies. I worked together with Simon Walk and Mark Musen.
Introduction to Social Network Science with Python
Sep. 2020: Virtual (zoom) GESIS Methods Seminar [see material]
Graph representations in networkX, I/O operations, visualizations, Hypothesis testing using QAP and MRQAP.