feed the sparrows

11.2025 - current 

bioinformatician @ ECAS & MI3, UMM, Germany

• acted as the sole computational expert for two fully experimental research groups with limited computational background,
• performed end-to-end analysis of scRNA-seq and spatial single-cell transcriptomics data, from raw data processing to statistical interpretation and publication-quality visualisation.

10.2021 - 10.2025

phd researcher @ AI in oncology, DKFZ, Germany

• independently led two spatial transcriptomics projects, owning all scientific, technical, and analytical decisions with minimal supervision,
• conducted biomarker discovery to distinguish radionecrosis from glioblastoma recurrence, and performed Xenium spatial transcriptomics analysis at a time when no established pipelines existed, designing custom workflows from raw data to final figures. Developed the full scientific narrative and produced all analyses and figures for a first-author manuscript (10.1101/2025.09.25.25336313, accepted in Neuro-Oncology), 
• initiated and led a large-scale pan-glioma spatial transcriptomics project, including design of a 344-gene custom Xenium panel, spatial single-cell analysis, extensive clinical data harmonisation across heterogeneous and poorly structured sources, and survival analysis linking molecular patterns to patient outcomes. Now continued by collaborators toward publication,
• established the first Xenium analysis framework in the group and provided advanced bioinformatics support across projects, such as MIBI spatial proteomics,
• fully self-managed workload, priorities, and timelines; built deep domain expertise in glioma biology and spatial omics through literature, collaborations, and expert consultations.

2020 - 2021

bioinformatics researcher @ NMRC TPM, Russia

• developed and maintained bioinformatics pipelines and statistical models to analyse mutations in human proteins,
• built a random forest classifier to predict compensated disease-causing mutations,
• collaborated with internal and external partners (including HINS, Saarbrücken) to refine analytical strategies and improve model robustness.

2017 - 2020

bioinformatics researcher @ IITP RAS, Russia

• designed scalable bioinformatics pipelines to process and analyse 400+ complete bacterial genome,
• independently led a large-scale project on genome rearrangements in Shigella spp., from raw data to a first-author publication in Frontiers in Microbiology (10.3389/fmicb.2021.628622).

07.2020 - 09.2020

bioinformatics intern @ EMBL-EBI, UK (remote)

• developed whole-slide image preprocessing methods for artefact removal,
• built and evaluated deep learning models (MobileNetV2-based) to classify cancer types and predict molecular features directly from TCGA whole-slide images.

07.2019 - 08.2019

bioinformatics intern @ EPFL, Switzerland

• scaled GATK Best Practices pipelines for NGS exome sequencing data and optimised them for HPC compatibility,
• contributed to a preprint (10.1101/2025.06.12.25329504).

07.2017

bioinformatics intern @ LUMC, the Netherlands

• worked with patient clinical data and identified diseases likely contributing to the onset of rheumatoid arthritis.

NGS data analysis

omics data analysis

programming & version control

HPC

statistics, ML & AI

visualisation

soft skills

languages

2021 - 2025

phd in computational biology 

2015 - 2021

specialist degree in bioengineering & bioinformatics 

2021 - 2024

PhD fellowship

2018 & 2021

increased state academic scholarship for research achievement