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Dominik Linzner received his diploma in physics from the University of Kaiserslautern (Germany) in January 2016. His background is theoretical quantum optics with a focus on the numerical study of many-body systems using tensor-network based algorithms.
His research focuses on the development of novel inference algorithms for high-throughput biological data. In particular, he is interested in learning the underlying topology of data-generating processes (network inference) in the high p low n regime (less samples than sample dimension) and studying the dynamics of processes on complex networks.
He is currently interested in variational methods, rendering complex and high-dimensional problems tractable and Bayesian inference methods for the integration of prior knowledge and stabilization of high-dimensional predictions in the presence of small sample numbers.
Dominik Linzner is a PhD student at the Bioinspired Communication Systems Lab since March 2017 and is part of the PrECISE project funded the European Unions Horizon 2020 research and innovation programme. The project focuses on the creation of personalized therapies for prostate cancer patients.