That maturation of genetic sequencing technology platforms, coupled with emerging artificial intelligence (AI) and bioinformatics tools is allowing us to understand human biology in ways never imagined.
We specialize in discovering and understanding the role epigenetics, or gene expression, plays in individual health, wellness, and aging. We provide services and tools to the industries we serve in order to improve human health.
While a person’s underlying genetic code is stable throughout life, the mechanisms that drive their gene expression is a rapidly evolving science. We look at how DNA methylation relates to specific aspects of health, wellness, and aging. Our epigenome is the combination of natural and environmental modifications that imprint biomarkers to leave a unique biography of an individual’s health and wellness history.
How We Do It
We identify epigenetic biomarkers along the epigenome by applying advanced automated machine learning and artificial intelligence technologies to create predictive models that correlate epigenetic profiles with states of health, wellness, disease, and aging.
We ensure our data is prepped, quality-checked, and organized via custom bioinformatics pipelines to ensure reliable analyses.
We support high throughput human and mouse epigenetic methylation and DNA array testing through CLIA certified laboratories.
Who We Serve
We are a team of professionals covering a broad spectrum of expertise that ranges from entrepreneurial growth, molecular biology, and machine learning to computer science, finance, and marketing.
Jon R. Sabes
Jon R. Sabes is an entrepreneur with over 25 years of experience in life insurance innovation, finance, venture capital, and business development. As a health-obsessed ultra-athlete, he has spent the last decade finding ways to transform life insurance by using advances in molecular biotechnology to improve human health and longevity. He holds a Doctor of Law (J.D.) from the University of Minnesota and a bachelor’s degree in economics from the University of Colorado.
Brian Chen, PhD
Brian Chen is an epidemiologist with over 40 peer-reviewed scientific publications on the biology of aging, genomics, epidemiology, chronic diseases and data science, including Dr. Steve Horvath’s seminal paper on the "epigenetic clock." He did his postdoctoral research at the National Institute on Aging (NIA) and the National Heart, Lung, and Blood Institute's Framingham Heart Study. He holds a PhD in epidemiology from UCLA and an MPH from the University of California at Berkeley.
Randy Olson, PhD
Randy Olson holds a dual PhD in Computer Science & Ecology, Evolutionary Biology & Behavior (EEBB) from Michigan State University. He spent three years at the University of Pennsylvania Institute for Biomedical Informatics, where he invented and developed TPOT, the most widely used open-source Automated Machine Learning platform. His blog on artificial intelligence, machine learning and data visualization has been featured in The New York Times, Wired, and FiveThirtyEight.
Robby Potashnick is a proven finance leader with over a decade of experience in established global financial services and Healthcare companies, such as United Health Group and PwC. He holds a master’s degree in Accountancy from Gies College of Business at the University of Illinois Urbana-Champaign.
Tyler Danielson is a skilled technology leader with deep experience leveraging software for modern life insurance products. He has served in leadership roles at insurtech and fintech companies, including Cargill and brightpeak financial, and holds a master’s degree in Computer Science from the University of Minnesota.
Michael Will has a proven history of managing legal and compliance needs for the life insurance industry. Before joining FOXO, he served as Senior Counsel at an insurtech startup, brightpeak financial—a division of Thrivent Financial. He holds a J.D. from the University of St. Thomas School of Law.
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