Vadim-dani Dubinsky
Clinical Data Scientist
Israel
Summary
👤
Senior🎓
Top SchoolVadim-dani Dubinsky is a Clinical Data Scientist and computational biologist with nine years’ experience translating genomics and metagenomics into clinical and product-ready insights. He holds a PhD from Tel Aviv University and has led bioinformatics teams and projects across startups and industry, building cloud and HPC pipelines (Nextflow, Snakemake) and large-scale databases for microbial diagnostics. Proficient in Python, R, Bash, SQL and cloud platforms, he applies statistical and machine learning methods for biomarker discovery and patient stratification while deploying LLM-based tools, RAG systems and agent tool-calling for biological data analysis. His background spans hands-on wet-lab microbiology and scale-up of microalgae production to advanced computational product development, giving him rare cross-disciplinary perspective. Known for operational delivery and mentoring, he combines academic rigor with product-focused execution to move complex bioinformatics workflows into production.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computational Biology and Microbiome, Doctor of Philosophy - PhD Computational Biology and Microbiome at Tel Aviv UniversityMaster's degree Marine Biology and Biological Oceanography, Master's degree Marine Biology and Biological Oceanography at University of HaifaMarine Biology, Marine Biology at Ruppin Marine sciencesPractical engineer Computer Science, Practical engineer Computer Science at ORT Colleges
English, Hebrew, Russian
Github Skills (62)
genome8
prediction8
mer8
bioinformatics8
predict7
r7
metabolic-models7
infectious-diseases7
metagenomics7
bacteria7
pathogen7
phylogenetic-trees7
genomics7
dna-sequences7
phylogeny7
Programming languages (6)
Github contributions (5)
VadimDu/Deep-Learning-to-predict-resistance-to-Fluoroquinolone-antibiotics
Oct 2020 - Jun 2021
In this interactive tutorial we will preform machine-learning (deep learning) analysis of bacterial DNA gyrase/topoisomerase in order to predict resistance to Fluoroquinolones antibiotics. We will used Convolutional Neural Network (CNN) based classifier to achieve it.
Contributions:26 commits, 4 PRs, 24 pushes in 8 months
resistanceclassifierinteractive-tutorialdnadeep-learning
VadimDu/DNA-sequences-accessory-tools
Oct 2020 - Jun 2021
An accessory for performing basic manipulations and obtaining statistical information on DNA sequences
Contributions:4 PRs, 34 pushes, 7 branches in 8 months
pythondnadna-sequencespdb-filesstatistical
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