Nick Machnik
Machine Learning Scientist at Bayer
Germany
Summary
👤
Senior🎓
Top SchoolNick Machnik is a Machine Learning Scientist with a PhD in statistical genetics and eight years of experience bridging computational biology and production software. He develops statistical methods and scalable tools for causal inference and genetic risk prediction, and has transitioned research prototypes into industry roles including microservice development in Go. Comfortable at the intersection of math, code, and biology, he has worked on diverse problems from 3D chromatin evolution and proteomics to modeling drug-induced cardiovascular risk. Based in Germany and currently at Bayer, he combines rigorous scientific training with practical engineering chops and a curiosity for multidisciplinary collaboration that often leads him to synthesize theoretical insight into deployable solutions.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Statistical Genetics, Doctor of Philosophy - PhD, Statistical Genetics at Institute of Science and Technology AustriaMaster of Science (MSc), Biotechnology, Master of Science (MSc), Biotechnology at Westfälische Wilhelms-Universität Münster
German, English, Polish
Github Skills (16)
comparative-genomics10
similarity8
gpgpu3
blast3
cuda3
arrayfire3
bioinformatics3
opencl3
bioconda3
variants3
hierarchical3
gpu2
genomics2
rust2
hpc2
Programming languages (3)
Github contributions (5)
nickmachnik/keep-in-touch
Apr 2020 - Aug 2021
Contributions:7 releases, 35 pushes, 1 branch in 1 year 4 months
medical-genomics-group/rs-bann
May 2022 - May 2023
Biologically annotated Bayesian Neural Network implementation in Rust
Contributions:10 PRs, 407 pushes, 7 branches in 1 year
rustbayesian-neural-networkmachine-learningneural-networkannotated
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