Isar Nassiri

About

I am a Senior Spatial Transcriptomics Computational Biologist at the Oxford-GSK Institute of Molecular and Computational Medicine (IMCM). My core responsibilities are target and biomarker discovery using spatial profiling in neurodegenerative diseases, specifically Parkinson's disease.

I have education and work experience in Genetics (MSc), Bioinformatics (PhD), Computational Biology (postdoc researcher for two years, Microsoft Research - the University of Trento Centre for Computational and Systems Biology in Italy), Biostatistics and Machine Learning (postdoc associate for two years, Department of Biostatistics and Computational Biology, University of Rochester, USA), and Bioinformatics and Statistical Genetics (postdoc associate for four years, Department of Oncology, University of Oxford, UK). I worked as a Senior Bioinformatician and line manager at Oxford Genomics Centre (OGC) for two years and provided appropriate and timely data processing and analysis for the data being generated by OGC.

Employment

• University of Oxford Senior Spatial Transcriptomics Computational Biologist
  2023 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (7)

• Cytomegalovirus infection protects against metastatic melanoma and modulates oncological outcome and toxicity to checkpoint immunotherapy
  2024 DOI: 10.1101/2024.10.09.24315144
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• An isoform quantitative trait locus in SBNO2 links genetic susceptibility to Crohn’s disease with defective antimicrobial activity
  Nature Communications 2024 DOI: 10.1038/s41467-024-47218-3
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• Peripheral monocyte transcriptomics associated with immune checkpoint blockade outcomes in metastatic melanoma
  2024 DOI: 10.1101/2024.01.25.24301653
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• Demultiplexing of single-cell RNA-sequencing data using interindividual variation in gene expression
  Bioinformatics Advances 2024 DOI: 10.1093/bioadv/vbae085
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• scQCEA: a framework for annotation and quality control report of single-cell RNA-sequencing data
  Isar Nassiri, Benjamin Peter Fairfax, Angela Lee +3 more
  BMC Genomics 2023 DOI: 10.1186/s12864-023-09447-6
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• Sensitivity to Immune Checkpoint Blockade and Progression-Free Survival is associated with baseline CD8+T cell clone size and cytotoxicity
  2020 DOI: 10.1101/2020.11.15.383786
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• EPISPOT: an epigenome-driven approach for detecting and interpreting hotspots in molecular QTL studies
  2020 DOI: 10.1101/2020.09.21.305789
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