Andrei Dmitrenko
Senior Consultant at D ONE – Data Driven Value Creation
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolAndrei Dmitrenko is a Senior Consultant and applied mathematician with a Doctor of Sciences from ETH Zurich and over a decade of experience bridging academia, life sciences, and consulting. He designs and engineers cloud-native data platforms and large-scale analytics pipelines, with hands-on success in transcriptomics, gene pathway systems, and production-grade infrastructure-as-code. As a researcher he has published and presented at NeurIPS, ICML and MIDL, led multidisciplinary teams, and applied agile practices to scientific project delivery. He combines deep domain knowledge in bioinformatics and PK/PD modelling with practical software and data engineering skills—shipping APIs, DWHs, and reproducible pipelines for industry partners including an Alphabet life-sciences team. Known for turning advanced ML research into operational products, he also runs workshops on generative AI and data mesh, helping organizations set ambitious but realistic AI goals.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree Applied Mathematics and Physics, Bachelor's degree Applied Mathematics and Physics at Saint Petersburg State UniversityDoctor of Sciences ETH Zurich Systems biology, Doctor of Sciences ETH Zurich Systems biology at ETH ZürichMaster's degree Bioinformatics, Master's degree Bioinformatics at Peter the Great St.Petersburg Polytechnic University
Russian, English, German, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
computational-biology8
bioinformatics7
mathematics6
haskell5
cuda5
self-supervised-learning4
bootstrap3
batch-normalization3
pytorch2
adversarial-learning2
artificial-intelligence2
deep-learning2
Programming languages (3)
Github contributions (5)
dmitrav/pheno-ml
Jul 2020 - Feb 2022
Contributions:109 commits, 78 pushes, 1 branch in 1 year 7 months
dmitrav/normalization
Mar 2020 - Jul 2023
RALPS: regularised adversarial learning for eliminating batch effects in omics data
Contributions:4 PRs, 213 pushes, 7 branches in 3 years 3 months
adversarial-learninginformation-theorybrain-computer-interfacebatchadversarial
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