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SRI HARSHA MEGHADRI
Computational Biologist | Single-Cell, Spatial and Bulk Transcriptomics | Lung Disease
Hannover, Germany | harshameghadri@gmail.com | linkedin.com/in/harshameghadri | github.com/harshameghadri | weeklybioinformatics.substack.com
Summary
Computational biologist (PhD thesis submitted, defense December 2026) working on single-nucleus, spatial and bulk transcriptomics of chronic lung disease at the German Center for Lung Research. Combines analysis depth (150,000+ nuclei, three previously undescribed cell populations, a first-author deconvolution method) with bench experience, including building the 10x Genomics Chromium platform from scratch at Sahlgrenska University Hospital. Also owns the roadmap of a Nextflow RNA-seq diagnostics platform and develops open-source single-cell software in Rust and Python.
Core Skills
Single-cell and spatial: snRNA-seq and scRNA-seq (10x Chromium, Flex), Xenium spatial transcriptomics, Seurat, clustering and annotation, pySCENIC regulon inference, cell-type deconvolution (MuSiC and own published framework)
Bulk and translational: DESeq2, limma-voom, edgeR, pathway enrichment (EnrichR), STRING networks, L1000/Connectivity Map drug repurposing, TCGA, GEO, Ensembl, UCSC Genome Browser, comparative genome alignment
Programming and infrastructure: R (advanced; Bioconductor, package development with Roxygen2), Python (pandas, NumPy), Nextflow DSL2, Docker, Git, Linux, AWS, SQL (basic), AI-assisted development (Claude Code)
Wet lab and NGS: 10x Chromium library preparation, TruSeq, Ion Torrent, amplicon and custom capture panels, UMI-barcoded multiplex PCR, qPCR, digital PCR, primary and patient-derived cell culture, FACS, immunofluorescence and confocal microscopy, molecular cloning, protein purification
Working familiarity: ACMG variant classification, variant-calling pipeline architecture
Experience
PhD Candidate, Computational Biology
Hannover Medical School (MHH), DZL-BREATH, Hannover, GermanyJan 2020 – Present
DZL-BREATH is the Hannover site of the German Center for Lung Research (DZL), Germany's national network for translational research on chronic lung disease.
- Single-nucleus atlas: Lead computational analyst on a 150,000+ nucleus snRNA-seq dataset (10x Flex) of pulmonary arterial hypertension versus control lung; identified three previously undescribed cell populations, including an EndoMT-associated transitional endothelial state (manuscript in preparation).
- Regulatory programmes: Inferred the transcription factor networks behind the disease-associated populations with pySCENIC regulon analysis.
- Spatial validation: Implementing Xenium spatial transcriptomics workflows to localise the new populations in intact lung tissue.
- Methods: Developed a framework that extends cell-type-specific pathway analysis to bulk RNA-seq through deconvolution (first author, bioRxiv 2024).
- Drug repurposing: Ranked candidate small molecules for idiopathic pulmonary fibrosis using L1000/Connectivity Map perturbational signatures.
- Knockout model: Led the transcriptomic analysis of Serpina1-deficient mice, including pathway enrichment and STRING network analysis (first author, Int. J. Mol. Sci. 2022).
- Pipelines: Built reproducible, version-controlled Nextflow and R pipelines for snRNA-seq and bulk RNA-seq processing.
Transcriptomics Product Owner (Remote)
newGenia AB, Stockholm, SwedenFeb 2021 – Present
Pre-seed startup building a cloud-based clinical RNA-seq diagnostics platform ahead of clinical deployment.
- Platform roadmap: Own the roadmap for a Nextflow DSL2 RNA-seq platform on AWS covering STAR alignment, GATK variant calling, DESeq2 differential expression, and a module linking classified variants to aberrant expression (OUTRIDER), allele-specific expression and aberrant splicing (FRASER2).
- Technical audit: Led an audit of the differential-expression and variant-expression modules; turned findings on strandedness, reproducibility and model-formula safeguards into a 25-ticket backlog across five sprints.
- Requirements: Translate scientific and product requirements into pipeline priorities with the engineering team.
Assistant Researcher, NGS Laboratory
Sahlgrenska University Hospital, Gothenburg, SwedenJun 2018 – Nov 2019
Sweden's largest university hospital, combining clinical diagnostics and translational research.
- Platform build: Set up the 10x Genomics Chromium single-cell platform from scratch: wrote protocols, validated workflows and trained 5+ researchers in library preparation and instrument operation.
- Single-cell oncology: Applied 10x scRNA-seq to EBV-associated post-transplant lymphoproliferative disorder (PTLD) across multiple patient samples.
- Clinical assay: Designed and validated a UMI-barcoded multiplex PCR assay (SiMSen-seq) for melanoma mutation detection.
- Clinical metagenomics: Built a metagenomic NGS pipeline for pathogen detection in cerebrospinal fluid (Scientific Reports 2022).
- Library preparation: Prepared TruSeq, Ion Torrent, amplicon and custom capture libraries; ran qPCR and digital PCR; co-supervised a Master's thesis.
Earlier Research Positions
DKFZ Heidelberg, Karolinska Institute, University of Gothenburg2012 – 2017
- Research Associate, Oncology, University of Gothenburg (2017): patient-derived cancer cell lines, plasmid construction, fluorescence microscopy; survival and differential expression analysis of TCGA DLBCL cohorts.
- Research Assistant, University of Gothenburg (Sep 2015 – Sep 2016): mammalian meiosis; molecular cloning, protein purification, protein interaction assays, yeast genetics screen.
- Research Assistant, Karolinska Institute (Sep 2012 – Jul 2013): regulation of a cellular E3 ligase by an EBV-encoded microRNA (acknowledged, PLoS Pathogens 2016).
- Master's Thesis, DKFZ Heidelberg (Feb – Aug 2012): mitotic phenotypes of EBV-infected B cells using immunofluorescence, histochemistry, FACS and primary cell culture.
Independent Projects
- CREST: open-source single-cell RNA-seq toolkit with Rust kernels behind a scanpy-style Python API; streams counts in chunks to bound memory; published on PyPI as crest-sc.
- medgemma-spatial: prototype linking Visium spatial analysis (Scanpy, Squidpy) to a quantised MedGemma model for draft pathology summaries.
Publications
Meghadri SH, et al. Discovery of novel cell types in pulmonary arterial hypertension through large-scale snRNA-seq. Manuscript in preparation.
Meghadri SH, et al.
Extending deconvolution capabilities for cell type-specific pathway analysis of bulk RNA-seq data. bioRxiv, 2024.
doi:10.1101/2024.07.30.605740
Meghadri SH, et al.
Loss of Serpina1 in mice leads to altered gene expression in inflammatory and metabolic pathways. Int. J. Mol. Sci., 2022.
doi:10.3390/ijms231810425
Acknowledged. Bernhardt K, et al. A viral microRNA cluster regulates the expression of PTEN, p27, and of a Bcl-2 homolog. PLoS Pathogens, 2016.
Education and Certification
- PhD, Computational Biology, Hannover Medical School (MHH), DZL-BREATH, 2020 – present (thesis submitted, defense December 2026)
- MSc, Genomics and Systems Biology, University of Gothenburg, Sweden, 2015 – 2020
- MSc, Infection Biology, Uppsala University, Sweden, 2010 – 2012 (thesis at DKFZ Heidelberg)
- BTech, Biotechnology, Anna University, Chennai, India, 2006 – 2010
- FELASA Category B, laboratory animal science, University of Gothenburg
Leadership, Communication and Languages
- Leadership: President, ISCB Regional Student Group Gothenburg (2018 – 2020); organised bioinformatics workshops and industry talks.
- Science communication: author of the Weekly Bioinformatics newsletter; talks and posters at DZL Annual Meetings (2022, 2023), BIOMEDAS and AACR Shenzhen (2019).
- Awards: TRAIN Academy Stipend (2023), FF Donations Board Scholarship (2018), Adelbert Foundation Scholarship (2017).
- Languages: English (fluent); German (A2); Swedish (A2); Telugu, Tamil and Hindi (native or fluent).