Dr. Johann de Jong
Angestellt, Principal Scientist, Boehringer Ingelheim, Biberach
Monheim am Rhein, Deutschland
Werdegang
Berufserfahrung von Johann de Jong
Bis heute 2 Jahre und 10 Monate, seit Sep. 2021
Principal Scientist
Boehringer Ingelheim, Biberach
Developing methods grounded in machine learning (specifically deep learning) and statistics, for patient stratification and drug response prediction from clinical and multi-omics data.
Integrating multi-level biological data via computational and statistical means, and driving the development of new computational methodologies for this purpose.
9 Monate, Juni 2014 - Feb. 2015
Postdoctoral Researcher
The Netherlands Cancer Institute
Working on 1) Multiscale normalization of genome-wide sequencing data using a kernel convolution-based method, 2) Integrating large genomics and epigenomics datasets for studying (i) the efficiency of the CRISPR-Cas9 system for genome engineering and (ii) the chromatin position effect across multiple promoters.
4 Jahre und 10 Monate, Sep. 2009 - Juni 2014
Doctoral researcher
The Netherlands Cancer Institute
Using techniques mainly derived from machine learning and statistics (HMMs, Bayesian networks, kernel convolution, etc.) to analyze very large genomics and epigenomics datasets, and developing algorithmic tools, mainly focusing on the applications of retroviruses and transposons in cancer research and gene regulation.
Ausbildung von Johann de Jong
Computational Science
University of Amsterdam
Mathematical modeling, complex systems, high-performance and distributed computing, artificial intelligence, scientific computing, scientific visualization, computational biology.
Bioinformatics
Delft University of Technology
Pattern recognition and machine learning, NGS data analysis, gene regulation networks