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Jesper Ferkinghoff-Borg

Jesper Ferkinghoff-Borg - Research
My research aims at the application of biophysical, statistical and machine learning techniques to identify and validate novel, therapeutic network targets, primarily for cancer treatment. These techniques entail deep learning, gaussian processes, bayesian matrix factorization, hierarchical bayesian models, hidden Markov models, Monte Carlo methods and related methodologies from statistical physics. On this basis, we perform multi-plexed and multi-omics data-integration with the particular aim of finding methods for treating development of drug resistance and metastasis.
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