Krithika Umesh

Performed preliminary bulk RNA-seq analysis of mouse cerebrum and cerebellum under microgravity, producing differential expression summaries and proposing spatial transcriptomics to probe neuroprotective pathways.

Built a scalable single-cell RNA-seq analysis pipeline for public NGS datasets, enabling integrated clustering, differential expression, and pseudotime analyses that identified cell-type biomarkers and trajectories in immunology projects.

Curated AD/ADRD datasets for a deep learning text-mining system, establishing entity relationships across molecular, disease, variant, and gene levels to support downstream AI models.

Reviewed and analyzed patent documents to support IP services for clients, contributing to prior-art searches and patentability assessments.

Completed training in intellectual property rights at the Department of Science & Technology, supporting IP education and policy-related projects.

Activities and societies: Graduate Research Assistant, Gleghorn lab; developed single-cell RNA-seq analysis pipeline and performed pseudotime and differential expression analyses.

Master of Science in Bioinformatics & Computational Biology with research on scalable single-cell RNA-seq pipelines, data integration, and cell-type biomarker identification.

Activities and societies: Trainee experience in patent analysis and IPR-related roles.

Postgraduate diploma in Intellectual Property Rights and Law.

Activities and societies: Curated Alzheimer's disease datasets for text-mining and established relationships among molecular and disease entities.

Master of Science in Bioscience focusing on bioinformatics-related data curation and analysis tasks.

Bachelor-level studies in biological sciences covering botany, biochemistry, and microbiology.