Harnessing The True Power of Genetics

We help families understand their DNA and how it can impact their health and well-being.

Multi-Factorial Conditions

Estimate your lifetime risk for common medical conditions that are multi-factorial i.e. depend on a combination of variants across many genes (e.g., certain cardiovascular diseases, cancers, autoimmune and neurological conditions).

Single Gene

Identify clinically significant variants for over 100 rare / Mendelian conditions (241 genes) that depend on single genes. Help your doctor understand how you respond to certain drugs based on variance in particular genes.


Leverage the whole genome to reduce the risk of diseases and disease risks being passed from one generation to the next.

About Us

MyOme helps identify genes that cause disease and act based on the latest science. The data is secure, portable and reusable throughout life.

What Makes MyOme Different?

MyOme is focused on using well-backed scientific findings and innovative approaches to provide you with actionable insights

The whole Genome

We sequence your entire genome not just a small subset, providing almost 10 times more information. This means our analysis includes common and rare DNA variants, and certain structural variants where portions of chromosomes are added, missing or rearranged.


The MyOme team is continuously exploring new measurement technologies and analysis methods to enable meaningful interventions based on your genetics. We conduct research studies to test these methods and evaluate their ability to bring you actionable findings.


An example of our technology is the ability to reconstruct the entire genome of an embryo, so that one can apply polygenic models and whole genome analysis in IVF.

Genetic Risk Scores

Genetic risk scores (GRS), also known as polygenic risk scores, are a new way of combining the impact of many variants across the genome. These scores are particularly useful in estimating risk for common conditions like heart disease that are impacted by many genetic factors. Some tests which estimate risk only based on a single variant can be misleading if there are many other relevant variants.

Our Team

Jennifer Carrera

Admin / Finance

Adam Lavertu

Bioinformatics Engineer

Bin Hoang

NGS Lab Technician

Reece Hart, PhD


Donna Hongo, PhD

Head of Quality and Regulatory

Kate Im, PhD

Genetics Lead / Co-Founder

Akash Kumar, MD, PhD

CMO / Co-Founder

Matthew Rabinowitz, PhD

Chairman / Co-Founder

Robin McElroy


Pauline Ng, PhD


Brynn Levy, PhD

Clinical Laboratory Director

Oren Schaedel, PhD

Product Lead / Co-Founder

Premal Shah, PhD

Chief Executive Officer

Jonathan Sheena

Board Member and Advisor

Monika Sun, PhD


Tate Tunstall, PhD


David Slusser

Software and Data Engineer

Placede Tshiaba


Darek Ratman




Stephen Montgomery, Ph.D.
Associate Professor Of Pathology And Genetics
Stanford University

Trevor Hastie, Ph.D.
Professor Of Statistics And Biomedical Data Sciences
Stanford University

Russ B. Altman, M.D., Ph.D. Professor of Bioengineering, Genetics, Medicine, Biomedical Data Science and Computer Science Stanford University

Jacob Kitzman, Ph.D
Assistant Professor of Human Genetics Assistant Professor of Computational Medicine and Bioinformatics University of Michigan

Contact Us

We are here for you and happy to answer any questions. Contact us at with any questions OR to keep apprised of any development, provide your name and email information.

930 Brittan Ave, San Carlos, California 94070.

‪(813) 670-2189.