Ron Schwessinger
Senior AI ML Engineer at GSK
Heidelberg, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolRon Schwessinger is a Senior AI/ML Engineer with a decade of experience translating deep learning research into functional genomics applications, currently applying these skills at GSK. He builds and scales neural networks that integrate DNA sequence, epigenomics and 3D chromatin architecture to predict gene regulation and interpret non-coding variation, work rooted in a PhD from Oxford. His background spans academia and industry—publishing models for megabase-scale chromatin prediction, developing single-cell expression predictors, and consulting on ML adoption—so he bridges novel method development with practical deployment. Based in Heidelberg, he combines strong computational skills (Python, TensorFlow) with hands-on genomics, and often supervises and mentors junior researchers, reflecting both technical depth and collaborative leadership.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Genomic Medicine and Statistics, Doctor of Philosophy - PhD, Genomic Medicine and Statistics at University of OxfordMaster of Science - MS, Molecular Biology, Master of Science - MS, Molecular Biology at Heidelberg UniversityBachelor of Science - BS, Molecular Biology, Bachelor of Science - BS, Molecular Biology at Ruprecht-Karls-Universität Heidelberg
Github Skills (19)
dna-sequences10
data-processing8
motif7
keras6
bioinformatics6
pipeline6
neural-network5
genomics5
convolutional-neural-networks4
genome3
tensorflow3
machine-learning3
chip-seq3
visualization2
python2
Programming languages (5)
Github contributions (5)
Hughes-Genome-Group/deepC
Jul 2020 - Dec 2021
A neural network framework for predicting the Hi-C chromatin interactions from megabase scale DNA sequence
Contributions:2 releases, 20 commits, 3 PRs in 1 year 5 months
dna-sequencesneural-network
Hughes-Genome-Group/sasquatch
Mar 2016 - Sep 2016
Contributions:21 commits, 2 PRs, 10 pushes in 6 months
regulatorysnpstissuebioinformaticsfootprints
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