Daniel N. R. da Silva is currently a PhD student in Computational Science at the Brazilian National Laboratory for Scientific Computing (LNCC). He holds an M.Sc. degree in Computational Science from LNCC (2017) and a B.Sc. degree in Computer Science from UNIFESO (2014). His research interests lie at the intersection among Knowledge Engineering, Machine Learning, and Network Science. Especially, Daniel works on two related research projects: his PhD thesis development and a model management R&D project. In his thesis, Daniel is interested in the analysis and development of machine learning methods for modelling temporal knowledge graph dynamics, for instance, the inference of a new fact based on the graph information. On the other hand, in the R&D project, Daniel is involved in building a knowledge-based system for the management of machine learning models.
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