Cell Type Snapshot Explorer
A reproducible R- Shiny web application/dashboard to explore cell-type-specific gene markers and visualize expression patterns on UMAP embeddings in single-cell RNA-seq datasets.
Currently an Extern @Institute of Mental Health
Biotechnology background, hands-on externship experience in healthcare operations and consulting at the Institute of Mental Health.
Work samples and case notes from my Institute of Mental Health externship, focused on operations, consulting tasks, and workflow-focused deliverables.
A reproducible R- Shiny web application/dashboard to explore cell-type-specific gene markers and visualize expression patterns on UMAP embeddings in single-cell RNA-seq datasets.
Publication in Next-Generation Onco-Therapeutics (pp. 355-384).
Biotechnology background, hands-on externship experience in healthcare operations and consulting at the Institute of Mental Health.
I am Priya Chauhan, a biotechnology student exploring healthcare operations and consulting. I completed an externship with the Institute of Mental Health, where I worked on healthcare operations and consulting tasks. I focus on applying biotech knowledge to improve clinical workflows and service delivery.
Externships
Healthcare Operations & Consulting Externship
Institute of Mental Health
Experience
Healthcare Innovation & Strategy Specialist
PCOS Challenge: The National Polycystic Ovary Syndrome Association · July 2026- Present
Research Associate
Medicines Research Group- unit of Karma Medical · Jan 2026- Present
Molecular & Clinical Diagnostics Intern
Department of Laboratory Medicine, Yatharth Super Speciality Hospitals · May 2025- July 2025
Summer Research Fellow
Stanford Center for Innovation in In Vivo Imaging (SCI³), Stanford School of Medicine, Stanford University · June 2025- Aug 2025
Education
Amity University, Noida
MSc Biotechnology · Class of 2026
Amity University, Noida
BSc (Hons.) Biotechnology with specialization in Medical Biotechnology · Class of 2024
Skills
A reproducible R- Shiny web application/dashboard to explore cell-type-specific gene markers and visualize expression patterns on UMAP embeddings in single-cell RNA-seq datasets.
Publication in Next-Generation Onco-Therapeutics (pp. 355-384).
Publication in Advancements in Colorectal Cancer (pp. 182-204).