Isha Monga

About Isha Monga

I am a Bioinformatics Scientist with 13+ years of experience applying computational genomics, single-cell analytics, and machine-learning approaches to accelerate biological discovery and therapeutic research. Trained in bioinformatics (PhD focused on developing open-source tools for machine-learning prediction algorithms non-coding RNAs), I bring deep expertise in single-cell transcriptomics, multi-omics integration, ligand–receptor communication, and data-driven disease modeling.Across roles at Weill Cornell, Columbia University, and Mount Sinai, I have led computational strategy for large-scale projects in oncology, neuroscience, immunology, and dermatology; delivering actionable insights that supported target discovery, mechanistic studies, and translational programs. I have built and optimized end-to-end pipelines (Seurat, Scanpy, muscat, CellChat), integrated multi-modal datasets and contributed to impactful scientific outputs while collaborating closely with clinicians, wet-lab teams, and cross-functional groups.I excel at translating complex data into clear, decision-ready insights and have extensive experience in grant writing, manuscript development, scientific communication, and project leadership. As an active reviewer for Frontiers in Immunology, PLOS One, BMC Genomics, BMC Cancer, and Scientific Reports, I maintain a broad perspective on emerging technologies and analytical standards. I am passionate about leveraging computational biology, machine learning, and systems-level modeling to advance therapeutic discovery and support innovation in biotech and pharma-Technical SkillsSingle-Cell & Multi-Omics:Seurat, Scanpy, Harmony, SCTransform integration, CellChat, NicheNet, muscat, scATAC-seq analysis, CITE-seq, long-read sequencing integration-Machine Learning & Algorithms:Feature selection, classification models, predictive modeling, algorithm development, non-coding RNA prediction tools (5 open-source tools built)-Data Science & Pipelines:R, Python, Bash, Git/GitHub, workflow automation, HPC environments (UGER/Spack), reproducible pipeline design-Statistical & Computational Methods:Differential expression, batch correction, clustering, integration, trajectory inference, dimensionality reduction-Visualization & Reporting:ggplot2, ComplexHeatmap, scientific figure design, communication for clinical and interdisciplinary audiences-Collaboration & Leadership:Cross-functional teamwork, project management, grant writing, manuscript preparation, pitching computational findings to clinicians and scientists

Experience

1. Bioinformatics Analyst

   Weill Cornell Medicine

   Feb 2024 — Present · New York, NY, US

   Lead computational analyses of single-cell and single-nucleus RNA-seq datasets generated from cortical organoids and glioblastoma-specific organoid models (GLICO).Analyze multi-project datasets, including:(1) cortical organoids and GLICO sc/snRNA-seq,(2) iGLICO models with integrated immune system (microglia), and (3) GLICO models with early Glial induction.Perform batch correction, reference-based integration, and atlas-scale harmonization to construct reproducible, high-resolution single-cell atlases of brain tumor models.Collaborate with oncologists, neuroscientists, and computational biologists to dissect immune–tumor and glia–tumor interactions, ligand–receptor communication, and transcriptional states driving tumor progression.Develop tailored pipelines in R (Seurat, CellChat, muscat) and Python (Scanpy) for compositional analysis, differential expression, and functional enrichment in complex organoid models.Generate publication-ready figures and visualizations for grants, manuscripts, and presentations.Contribute to translational research linking single-cell insights from organoid models to potential therapeutic strategies for glioblastoma.

Education

• HMV COLLEGE,Jalandhar

  Bachelor’s Degree, Medical

  2006 — 2009

• Institute Of Microbial Technology

  Doctor of Philosophy - PhD, Bioinformatics

• Panjab University

  M.sc, System Biology & Bioinformatics

  2009 — 2011

• S.B.S Sr Sec school patti (tarntaran)

  Senior Secondary

Skills

• C++
• Proteomics
• Machine Learning
• Html
• Rnai
• Microrna
• Microsoft Office
• Support Vector Machine (Svm)
• Sequence Analysis
• Molecular Biology
• Lifesciences
• Cell Culture
• Bioinformatics
• Genome Analysis
• C
• Drug Design
• Research
• Database Design
• Sirna
• Perl