Since 2015 Severin Gsponer is a PhD student at the Insight Centre for Data Analytics at the University College Dublin, Ireland. He holds a MSc(2014) and a BSc(2012) in Computer Science from the University of Basel, Switzerland.
His main research interest is machine learning and optimization. His current project focuses on analyzing different loss functions and convex optimization strategies, on a range of sequence data with different characteristics (i.e. length, alphabet size, motif length). Thereby, he’s especially interested in the scalability, accuracy and interpretability of the produced models. To achieve this goal in a structured and reproducible way, he is developing a simulation framework. Additionally, he is extending the current classification framework to work on sequence regression problems.
Severin Gsponer is also interested in a variety of other Computer Science related topics like: recurrent neural networks, feature selection, feature learning, multitask learning, bioinformatics, repoducibility in research and exascale computing.