Sonja Strunz

Leibniz Institut für Nutztierbiologie

Further specialization in machine learning techniques and their application in high-throughput data analysis. Applied methods: Clustering, Support Vector Machines, k-nearest neighbor classification, decision trees, regression models, feature selection, variance analysis, cross validation, ensemble methods

Eberhard Karls Universität Tübingen

Universität Rostock

My research focused on the development and implementation of methods for biomarker discovery and data-driven network inference. Applying these methods to high-throughput data helps to elucidate and understand fundamental molecular and cellular mechanisms. My further key activities were: • Supervision of doctoral students • Preparation of project reports and funding proposals • Teaching • Communication with national and international project partners… Show more My research focused on the development and implementation of methods for biomarker discovery and data-driven network inference. Applying these methods to high-throughput data helps to elucidate and understand fundamental molecular and cellular mechanisms. My further key activities were: • Supervision of doctoral students • Preparation of project reports and funding proposals • Teaching • Communication with national and international project partners with divers academic backgrounds (Biology,Medicine and Computer Science) • Self-dependent research as well as working in an international and interdisciplinary team • Scientific presentations and publications Show less