PhD holder with extensive experience in RNA-Seq analysis and spatial transcriptomics. Currently working at a leading biotechnology research laboratory with 10+ published research articles in high-impact journals.
My research spans cutting-edge areas in biotechnology with special emphasis on transcriptomics and genomics.
Advanced analysis of RNA sequencing data to uncover gene expression patterns, alternative splicing events, and novel transcripts.
Investigating gene expression within tissue context to understand cellular organization and interactions in health and disease.
Exploring cellular heterogeneity through single-cell RNA sequencing to identify rare cell populations and their molecular signatures.
Proficient in a wide range of biotechnology tools and computational methods for genomic analysis.
Peer-reviewed research articles in high-impact journals (10 total publications)
Nature Biotechnology | 2023 | Impact Factor: 46.9
First author. Developed novel computational pipeline for spatial transcriptomics analysis revealing tumor microenvironment interactions.
Cell Reports | 2022 | Impact Factor: 9.4
Corresponding author. Identified disease-specific splicing patterns using Oxford Nanopore sequencing.
Genome Medicine | 2021 | Impact Factor: 11.1
Co-first author. Developed machine learning approach to deconvolve immune cell populations from bulk data.
Cutting Edge Biotech Lab | 2020-Present
Lead spatial transcriptomics projects and develop novel analysis pipelines for multi-omics data integration.
Genomics Research Institute | 2017-2020
Investigated RNA splicing mechanisms in cancer using single-cell RNA sequencing approaches.
Prestigious University | 2012-2017
Thesis: "Novel approaches to RNA-seq analysis in heterogeneous cell populations"
Top-Tier University | 2010-2012
Specialization in Genomics and Bioinformatics
Interested in collaboration or have questions about my research? Feel free to reach out.