About HeredityLab
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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.
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Our Mission
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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.
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Founded by Engineers
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We are a team of engineers passionate about population genetics, bringing together expertise in coding, data science, and archaeogenetics to deliver ancestry insights that are both accurate and informative.
Leadership
Thomas Schneider, Chief Executive Officer
LinkedIn Profile
Eric A. Wright, Director of Operations
LinkedIn Profile
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Focused on Real Samples
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At HeredityLab, we believe that meaningful ancestry analysis begins with accurate data . Our population reference panels are built exclusively from large-scale, peer-reviewed public genome projects. Each dataset is carefully curated to represent real individuals from diverse populations.
We go beyond simple collection: our panels are structured, validated, and optimized to integrate seamlessly into our analysis pipelines. This ensures that every comparison is grounded in scientifically robust data, allowing us to deliver results that are not only accurate but also reproducible.
By combining rigorous data science with established genetic research, we provide a foundation you can trust, one rooted in transparency, quality, and the real genetic diversity of global populations.