daria stelmashenko

Daria Stelmashenko


Product Manager, Genome Enhancer
Director of Global Business Development, geneXplain GmbH
Wolfenbüttel, Germany

Email:
daria.stelmashenko(at)genexplain(dot)com

ORCID:
https://orcid.org/0009-0004-4951-1140

ResearchGate:
https://www.researchgate.net/profile/Daria-Stelmashenko

Daria is a versatile bioinformatics and business development professional combining expertise in multi-omics analysis, computational biology, and software product management with a strong track record of driving global scientific collaborations and delivering innovative biomedical solutions.

Professional Profile

Dynamic bioinformatics and business development specialist with more than 15 years of experience at the intersection of computational biology, software innovation, and strategic growth in the life sciences sector. With a strong academic foundation in applied mathematics and cybernetics, Daria has built a multidisciplinary career spanning bioinformatics research, biomedical software product management, international sales and marketing, and global business development.

As Director of Global Business Development and Product Manager of Genome Enhancer at geneXplain GmbH, she leads the introduction and advancement of AI-driven multi-omics analysis tools, bridging scientific innovation with real-world applications in translational research and drug discovery. She has extensive expertise in systems biology, regulatory network analysis, multi-omics data interpretation, and automated knowledge extraction.

Daria’s scientific contributions include developing computational tools for identifying master regulators, proposing novel algorithms in formal concept analysis, and co-authoring publications on cancer mechanisms, inflammation biology, and pathway-centric analysis methods. Known for strong communication skills, strategic thinking, and the ability to turn complex scientific concepts into actionable solutions, she excels in collaborating with academic and industry partners worldwide.

Scientific Expertise

  • Bioinformatics and systems biology, with a focus on regulatory network reconstruction and multi-omics data interpretation.
  • Development of computational tools for automated identification of drug targets and pathway regulators (e.g., Genome Enhancer, MATCH Suite).
  • Expertise in promoter/enhancer analysis, transcription factor discovery, and upstream pathway inference.
  • Research and algorithm development in formal concept analysis, semantic networks, data representation, and automated knowledge extraction.
  • Design and implementation of methods for unifying heterogeneous data, constructing attribute specificity scales, and extracting rule-based knowledge.
  • Experience in applying transcriptomics and integrative data analysis to study inflammation, foam cell formation, cancer mechanisms, and drug resistance.
  • Practical knowledge of data mining, database management, AI-driven analysis workflows, and biomedical software development.
  • Strong interdisciplinary background bridging applied mathematics, computational modeling, and biomedical research.
  • Multi-omics data integration and analysis for discovering prospective biomarkers and therapeutic targets across diverse diseases.
  • Prediction of personalized treatment strategies through patient stratification and mechanistic interpretation of individual molecular profiles.

Projects

COPreDict

Development of COPD prognostic routine for optimal therapy prediction on the basis of lipid microbial biomarkers and AI-based modeling of immune response.

ChromRare

Understanding chromatinopathies, rare genetic diseases caused by mutations in chromatin regulators, by investigating their genetic and epigenetic determinants to develop new diagnostic and therapeutic strategies.

Selected Publications

1. Boyarskikh, U. A., Pintus, S. S., Mandrik, N. V., Stelmashenko, D. E., Kiselev, I. N., Sharipov, R. N., … & Kel, A. E. (2017). Master-regulators driving resistance of non-small cell lung cancer cells to p53 reactivator Nutlin-3. Virtual Biology, (4), 1-31.

2. Boyarskikh, U., Pintus, S., Mandrik, N., Stelmashenko, D., Kiselev, I., Evshin, I., … & Kel, A. (2018). Computational master-regulator search reveals mTOR and PI3K pathways responsible for low sensitivity of NCI-H292 and A427 lung cancer cell lines to cytotoxic action of p53 activator Nutlin-3. BMC medical genomics, 11(1), 12.

3. Kel, A., Boyarskikh, U., Stegmaier, P., Leskov, L. S., Sokolov, A. V., Yevshin, I., Stelmashenko, D., … & Krull, M. (2019). Walking pathways with positive feedback loops reveal DNA methylation biomarkers of colorectal cancer. BMC bioinformatics, 20(4), 119.

4. Stelmashenko, D., Kel-Margoulis, O., Apalko, S., & Kel, A. (2022). GENE NETWORKS AND DRUGS. WHAT CAN WE LEARN USING BIO-AND CHEMOINFORMATICS?. In XXXVIII Symposium of Bioinformatics and Computer-Aided Drug Discovery (pp. 21-21).

5. Cinato, M., Kang, R., Kramar, S., Savchenko, L., Pizzinat, N., Swiader, A., … & Kunduzova, O. (2025). Transcriptome fingerprinting of aberrant fibroblast activation unlocks effective therapeutics to tackle cardiac fibrosis. Science advances, 11(33), eadx0968.