Rajdeep Rajdeep

Demonstrated success in compiling and interpreting bioinformatics information by leveraging software, statistics and data mining. Effective at maintaining current understanding of field trends, technological advances and new computational and modeling techniques.

Bioinformatics Intern, Karkinos Healthcare - 6 months (Jan-June-2023)

A key insight in understanding genomic alteration of Indian specific Head and Neck Squamous Cell Carcinoma cohort.

• Conducted Whole Genome Sequencing (WGS) analysis on a cohort of 39 HNSCC patient samples, unraveling the genomic landscape and identifying key somatic mutations and copy number variations (CNVs).
• Identified recurrent somatic mutations in well-known HNSCC-associated genes, such as TP53, CDKN2A, HRAS, PTEN, and PIK3CA, revealing diverse mutation patterns.
• Uncovered novel somatic mutations in genes not previously linked to HNSCC, providing new insights into the molecular mechanisms underlying the disease in the Indian population.
• Explored CNV patterns specific to the Indian cohort, utilizing advanced computational techniques to reveal unique genomic alterations associated with HNSCC.

A key insight in understanding genomic alteration of Indian specific Head and Neck Squamous Cell Carcinoma cohort.

• Conducted Whole Genome Sequencing (WGS) analysis on a cohort of 39 HNSCC patient samples, unraveling the genomic landscape and identifying key somatic mutations and copy number variations (CNVs).
• Identified recurrent somatic mutations in well-known HNSCC-associated genes, such as TP53, CDKN2A, HRAS, PTEN, and PIK3CA, revealing diverse mutation patterns.
• Uncovered novel somatic mutations in genes not previously linked to HNSCC, providing new insights into the molecular mechanisms underlying the disease in the Indian population.
• Explored CNV patterns specific to the Indian cohort, utilizing advanced computational techniques to reveal unique genomic alterations associated with HNSCC.