Jakub Bartoszewicz
Berlin, Germany
Summary
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Rockstar🎓
Top SchoolJakub Bartoszewicz is a bioinformatics researcher and engineer with a decade of experience applying deep learning to viral and microbial genomics, antimicrobial resistance, and bio/molecular design. He holds a summa cum laude doctoral degree from Freie Universität Berlin and has held postdoctoral roles at MIT CSAIL (Barzilay Lab) and the Hasso Plattner Institute following a long research tenure at the Robert Koch Institute. Jakub blends hands-on ML engineering (Keras, TensorFlow, R) with domain expertise in synthetic genomics and next-generation sequencing, focusing on AI risks for health and biosecurity. Based in Berlin, he combines rigorous academic training with practical software development roots dating back to web and neuroinformatics projects, giving him a rare cross-disciplinary perspective on building and deploying models for pathogen genomics.
10 years of coding experience
11 years of employment as a software developer
Doctoral degree, Bioinformatics, summa cum laude, Doctoral degree, Bioinformatics, summa cum laude at Freie Universität BerlinMaster of Arts (MA), Cognitive Science, A, Master of Arts (MA), Cognitive Science, A at Uniwersytet im. Adama Mickiewicza w PoznaniuMaster of Science (MSc), Bioinformatics, A+ (with distinction), Master of Science (MSc), Bioinformatics, A+ (with distinction) at Poznan University of Technology
Polish, English, German
Github Skills (13)
bioinformatics10
conda10
bacteria10
next-generation-sequencing10
package-management10
bioconda10
complement9
deep-learning8
deep-neural-networks4
simulate2
sequencer1
simulator1
sequencing1
Programming languages (4)
Github contributions (5)
JakubBartoszewicz/DeePaC
Mar 2018 - Dec 2022
Predicting pathogenic potentials of short DNA reads with reverse-complement deep neural networks.
Contributions:671 commits, 557 pushes, 48 branches in 4 years 9 months
dnadeep-learningneural-networksshortpotentials
JakubBartoszewicz/DeePaC-vir
Feb 2020 - Jan 2021
DeePaC plugin shipping built-in models for novel human virus detection
Contributions:21 pushes, 2 branches, 2 tags in 11 months
built-invirusshipping
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