Résumé

Bioinformatics • Single-cell / Multi-omics • Reproducible Analysis

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Summary

Bioinformatics researcher specializing in single-cell/single-nucleus RNA-seq, ATAC integration, cell-cell communication modeling, and imaging–genomics links. Experienced with Seurat v5, Harmony/RPCA, Signac, CellChat, and pseudotime (Slingshot/TSCAN/URD). Builds reproducible R/Python pipelines on HPC (SLURM) and delivers publication-quality visualizations.

Experience

Bioinformatics ResearcherBoston University Medical Campus2023–Present
  • Integrated sc/snRNA-seq datasets (Seurat v5; Harmony/RPCA); curated cell-type/state annotations.
  • Analyzed oligodendrocyte lineage (7 subclusters), module scoring across proliferative → mature → senescent states; treatment vs control/untreated contrasts with GO/Reactome overlays.
  • Modeled ApoE4 vs ApoE3 cell-cell communication using CellChat; summarized pathway-level differentials and astrocyte-centric signaling changes.
  • Linked AHBA/Nanostring expression with GMFW/GMFWMD MRI measures; produced region-wise correlations and enrichment synthesis.
  • Maintained reproducible pipelines (R/Python, SLURM, conda/mamba, Git) and generated executive-level figures.

Publications & Preprints

  • Organoid transcriptomics reveals treatment-responsive OPC states — bioRxiv (in prep), 2025.
  • Cell-type specific signaling in Alzheimer’s models — Manuscript, 2025.

Skills

Core Analytics

Seurat v5 Harmony / RPCA Signac (ATAC) CellChat DESeq2 / pseudobulk Slingshot / TSCAN / URD tradeSeq

Statistics & ML

FDR / BH Mixed-effects (brms) PLSRegression Feature selection Visualization & QC

Programming & Infra

R Python Bash Git Conda/Mamba Docker SLURM (HPC)

Visualization

ggplot2 UMAP/TSNE Heatmaps Dashboards

Education

  • M.S., Bioinformatics — Boston University Medical Campus.
  • B.Sc., Biotechnology — University of Delhi.