The birth of HeredityLab began when two colleagues, both with a keen fascination with the world of genomics and genetic genealogy, decided to leverage a combined knowledge of data science into the field of population genomics in order to uncover more information about our own genomes. We spent countless days refining our processes and computational capabilities in order to create the final product, a series of algorithms that are designed to infer ancestral information from human genomes. We envision a service that could make complex genetic information accessible and meaningful to everyone. This shared vision led to the birth of HeredityLab. Our mission is to bridge the gap between advanced genomic science and everyday curiosity about one’s roots and identity. Our goal is to provide a glimpse into your ancestral past that informs and enriches your understanding of the present. We started this site since we both have a passion for genetic genealogy, and wanted to apply our knowledge of data science to help people discern further information on their genetic history. We are both full time engineers, and due to our existing commitments, we run this site on a part time basis. Our goals for this site are strictly limited to giving customers more details on their genetic ancestry, and we don’t have any plans to expand the scope of the company beyond that stated goal.
HeredityLab was created to fill the gap between basic ancestry tools and true data-backed analysis. We use statistical modeling and genomic reference databases to decode your DNA.
Created by two engineers passionate about population genetics, our team blends coding and data science with genetic anthropology to make ancestry more accurate and actionable.
We build population panels from public genome projects, carefully structured and validated for our data pipelines.
Chief Geneticist
PhD in Human Genetics with 15+ years in clinical research, genotyping, and panel design.
Medical Director
Board-certified in internal medicine and genetics. Focused on gene-health correlations.
Bioinformatics Lead
MSc in Computational Biology. Expert in population structure, HMM modeling, and SNP annotation.