The Team Behind Clinical Genomics Intelligence

Travis Lacey

CEO and Co-Founder

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Travis Lacey is Co-Founder and Chief Executive Officer of Simplify Genomics, where he leads the company’s strategy, commercialization, and operational growth. With more than 25 years of leadership experience spanning healthcare, diagnostics, genomics, and biotechnology, Travis has built a career around identifying market opportunities, scaling complex organizations, and bringing innovative healthcare technologies into clinical practice.

Prior to co-founding Simplify Genomics, Travis held multiple executive leadership roles at Human Longevity, including Chief Business Officer and CEO of the company’s Pharma division. During his tenure, he helped drive strategic restructuring initiatives, commercialization efforts, and the successful spinout, growth, and eventual acquisition of Human Longevity’s oncology business by NeoGenomics. Following the acquisition, he served as Senior Vice President of Operations at NeoGenomics, where he led the integration and scaling of the acquired business, helped execute and integrate additional strategic acquisitions, and oversaw clinical operations across the organization before co-founding Simplify Genomics.

Travis played a key role in the commercialization and expansion of the genomic interpretation platform originally developed at Human Longevity, helping transform it from an internal research and clinical reporting system into a scalable enterprise platform. Today, under his leadership, Simplify Genomics continues to advance that foundation into a highly automated clinical genomics engine that enables healthcare organizations to transform raw genomic data into actionable clinical insights with speed, scale, and consistency.

His expertise spans operational leadership, healthcare strategy, mergers and acquisitions, business development, and commercialization. Prior to entering genomics, Travis held leadership positions at GE Healthcare, Robert W. Baird, Jefferies & Company, and Abbott Laboratories, developing deep experience in healthcare operations, strategic growth, and corporate development.

Travis remains focused on accelerating the adoption of precision medicine by helping healthcare organizations deploy scalable genomic technologies capable of evolving alongside rapidly advancing scientific knowledge.

Wayne Delport

CTO and Co-Founder

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Wayne Delport, PhD, is Co-Founder and Chief Technology Officer of Simplify Genomics, where he leads the development of scalable genomic interpretation platforms and clinical bioinformatics infrastructure. Wayne was one of the original architects behind the genomic technology stack developed at Human Longevity, helping build the cloud-native systems, analytics pipelines, and interpretation frameworks that powered large-scale clinical whole genome reporting.

With more than 15 years of experience spanning genomics, bioinformatics, evolutionary biology, and cloud computing, Wayne has consistently focused on transforming complex genomic data into clinically actionable insights. Before co-founding Simplify Genomics, he served as Vice President of Technology and Bioinformatics at Human Longevity, where he led the deployment of large-scale genomic computing infrastructure in the Amazon cloud and helped operationalize clinical whole genome analysis at scale.

At Simplify Genomics, Wayne and the senior technical team continue to advance and support the technology they originally built — evolving the platform with modern automation, scalable interpretation systems, and continuously updated genomic knowledge models. Under his leadership, Simplify Genomics has developed a repeatable, highly scalable genomics platform designed to deliver clinically relevant insights with minimal manual intervention.

Wayne earned his PhD in Genetics from the University of Pretoria, followed by postdoctoral research in viral evolution and computational biology at the University of Cape Town and the University of California San Diego. He has authored numerous peer-reviewed publications in bioinformatics and genomics and continues to contribute to the advancement of precision medicine and genomic computing.