Vladimir Kiselev
Oxford/Cambridge, UK, Russia
Summary
👤
SeniorVladimir Kiselev is a senior bioinformatics leader with 12+ years of experience building end-to-end single-cell discovery pipelines, cloud infrastructure and AI-driven drug discovery tools. As Head of Bioinformatics he combines hands-on coding (Python, R, bash), ML/statistics and full-stack cloud engineering (AWS, Terraform, Nextflow, SageMaker) to take projects from reads to actionable insights. He has led teams of up to 12, driven institute-wide cloud transitions at the Wellcome Sanger Institute, and founded a bioinformatics consultancy, demonstrating both operational and strategic leadership. An active open-source contributor and educator, he co-developed popular Bioconductor tools and contributes course materials for single-cell RNA-seq analysis, reflecting a strong commitment to reproducible science and training. His h-index of 21 (8k+ citations) underscores a sustained research impact alongside product delivery. Based in the Greater Cambridge area, he pairs deep academic pedigree (PhD in Biophysics) with pragmatic experience shipping scalable discovery platforms.
12 years of coding experience
Stackoverflow
363reputation
42kreached
7answers
5questions
Github Skills (14)
rna-seq10
python-course10
seq10
bookdown10
sc10
r10
html8
plotly-dash6
heatmap6
shiny6
python6
jinja26
database6
flask6
Programming languages (14)
Github contributions (5)
hemberg-lab/scRNA.seq.course
Mar 2016 - Apr 2019
Analysis of single cell RNA-seq data course
Role in this project:
Data Scientist
Data ScientistContributions:5 releases, 1584 commits, 103 PRs in 3 years
Contributions summary:Vladimir's commits primarily involve modifications to HTML files, specifically focusing on the course content. These changes introduce new sections and exercises. The repository's description and topics indicate a focus on single-cell RNA-seq data analysis using R, suggesting the user is contributing to the course material or exercises related to data analysis within the course framework.
rna-seqrscrna-seqscrna-seq-analysisbookdown
hemberg-lab/SC3
Jan 2016 - Dec 2017
A tool for the unsupervised clustering of cells from single cell RNA-Seq experiments
Contributions:267 commits, 11 PRs, 179 pushes in 1 year 10 months
clusteringrna-seqbioconductor-packagehuman-cell-atlassingle-cell-rna-seq
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