Research Mission • Est. 2024

About theResearch Archive

A digital archive preserving the genetic heritage of South Asia, created by a young researcher passionate about population genetics and anthropological preservation.

Bharat - Archive Curator

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ARCHIVE CURATOR & RESEARCHER
High School Student • Population Genetics Enthusiast
CONTACT

Researcher Biography & Mission Statement

RESEARCH BACKGROUND

As a high school student fascinated by South Asian genetics and anthropology, I embarked on creating this digital archive to better understand the genetic diversity of my ancestral region. Through self-directed study of population genetics papers and datasets from laboratories worldwide, I've developed this comprehensive resource.

ARCHIVAL MISSION

This archive serves to organize and preserve crucial genetic research about South Asian populations, making it accessible to students, researchers, and communities often underrepresented in major datasets. The focus is on creating a scholarly resource that bridges academic research with public understanding.

ACADEMIC INTERESTS & ACHIEVEMENTS

RESEARCH AREAS
  • • Population Genetics
  • • Ancient DNA & Archaeology
  • • South Asian Anthropology
  • • Digital Preservation
ACADEMIC SCORES
  • • AP Biology: 5
  • • AP Statistics: 5
  • • AP World History: 5
  • • Roblox Developer Award

Archive Mission & Purpose

EDUCATIONAL ACCESS

Making complex population genetics research accessible to students, educators, and curious individuals worldwide through visual and interactive presentations.

COMMUNITY REPRESENTATION

Highlighting genetic diversity of communities often underrepresented in major genetic studies, preserving their heritage for future generations of researchers.

DIGITAL PRESERVATION

Creating a permanent digital repository of South Asian genetic research, ensuring this knowledge remains accessible for academic and educational purposes.

Technical Implementation

FRONTEND ARCHITECTURE

Next.js 15, React, TypeScript, Tailwind CSS with vintage archival styling

DATA PROCESSING

R, Python, PLINK, ADMIXTURE analysis for population genetics

ARCHIVAL FONTS

EB Garamond, Alegreya, Noto Sans Devanagari for scholarly appearance

Research Acknowledgments

RESEARCH INSTITUTIONS
  • • Harvard Medical School (Reich Lab)
  • • Centre for Cellular and Molecular Biology
  • • Indian Statistical Institute
  • • Broad Institute of MIT and Harvard
PRINCIPAL RESEARCHERS
  • • David Reich (Harvard Medical School)
  • • Priya Moorjani (UC Berkeley)
  • • Kumarasamy Thangaraj (CSIR-CCMB)
  • • Partha P. Majumder (ISI Kolkata)
Special acknowledgment to all communities who contributed genetic samples, making this scientific understanding possible.

Contact the Archive

For inquiries about the research archive, collaboration opportunities, or questions about specific datasets, please reach out via email.

Contact Researcher