// machine learning · computational biology

Viktor Mamontov

Machine Learning Scientist · Computational Biology · Deep Learning & Data Science

I turn complex, high-dimensional biological data into predictive models and actionable insight — from raw data to trained, evaluated deep-learning systems.

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Cologne, Germany Open to industry R&D & data-science roles

01 — About

From biological complexity to predictive models

I'm a computational scientist and machine-learning practitioner with a PhD in Life Science and 10+ years of experience working with complex, high-dimensional biological data.

My speciality is deep learning for multivariate time-series forecasting and classification — designing LSTM/GRU, CNN and Transformer architectures in PyTorch and TensorFlow. I own the full ML workflow end to end: data preprocessing, feature engineering, architecture design and optimisation, training, and evaluation.

Currently a postdoctoral researcher at the Max Planck Institute for Plant Breeding Research in Cologne, I'm looking to apply my ML and data-science expertise in an industry R&D or data-science role in the Cologne / Rhineland region.

10+
years working with complex scientific data
PhD
in Life Science — Skoltech
E2E
ownership of the ML workflow, data to deployment-ready models

02 — Skills

Core skills & toolbox

🧠Machine Learning & AI

LSTM / GRUCNNTransformers Time-series forecastingClassification Architecture optimisationModel evaluation

⚙️Frameworks & Libraries

PyTorchTensorFlow Kerasscikit-learn

📊Data Science & Analysis

NumPypandasSciPy Statistical analysisEDA matplotlib / seabornData labeling

💻Programming

PythonR BashMATLAB

🛠️Tools & Platforms

Microsoft AzureGit DockerAI prompt engineering

🧬Domain Expertise

BioinformaticsGenomics & metagenomics 16S / NGSMicrobial-community analysis Stochastic modeling

03 — Experience

Professional experience

Postdoctoral Researcher

Jun 2023 — Present

Max Planck Institute for Plant Breeding Research — Cologne, Germany

  • Designed and implemented deep-learning models (LSTM/GRU, CNN and Transformer architectures in PyTorch) to forecast multivariate time series of microbial-community dynamics.
  • Built a neural-network classifier predicting microbial-community composition from carbon-source conditions.
  • Own the end-to-end ML workflow — data preprocessing, feature engineering, architecture design and optimisation, training, and evaluation.
  • Communicate technical results to interdisciplinary scientific audiences through reports and presentations.

Junior Research Scientist

Oct 2019 — May 2023

Laboratory of Metagenome Analysis, Skoltech — Moscow, Russia

  • Performed computational analysis of 16S rRNA sequencing data across metagenomic datasets, including statistical analysis and visualisation of results.
  • Established a benchmarking framework comparing DNA-isolation methods for marine metagenomics, informing best-practice protocols for the lab.

Researcher

Jun 2014 — Jul 2018

Ajinomoto-Genetika Research Institute — Moscow, Russia

  • Analysed genomic and metabolic datasets to support strain-engineering research projects.
  • Designed research projects and delivered data visualisations and presentations to internal stakeholders.

04 — Education & Languages

Education

Oct 2018 — Sep 2023

PhD in Life Science

Skoltech — Moscow, Russia

Sep 2011 — Jun 2017

MSc in Biophysics · with honours

Lomonosov Moscow State University — Moscow, Russia

Division of Biophysics, Bioengineering and Biotechnology, Faculty of Biology

🇬🇧 English C1 🇩🇪 German B1 🇷🇺 Russian Native

05 — Contact

Let's talk

I'm currently open to industry R&D and data-science opportunities in the Cologne / Rhineland region. If my profile fits your team, I'd love to hear from you.

viktor.mamontov@outlook.de +49 157 54835849 github.com/mavic9 LinkedIn