About
Dayle Sampson, PhD is Elysium Health's Vice President of Bioinformatics and a lead developer of APEX, the algorithmic platform behind the Index biological-age test. His background is applied machine learning, computational biology, and biomarker discovery. Before Elysium, he was Director of Bioinformatics at Immunexpress, where his work on host-immune-response sepsis diagnostics contributed to two FDA 510(k) de novo clearances. He holds a PhD in bioinformatics and a BAppSci (Hons) in biotechnology and forensic science from Queensland University of Technology.
What to Know
Signature approach
Sampson's Elysium work is the computational layer of Index: turning methylation data from the custom chip into biological age, pace of aging, and system-age outputs. The pattern matches his Immunexpress background: train on a defined biological signal, validate the model, and move the result into a product workflow.
What sets them apart
- APEX role. He is tied directly to the algorithm behind Index reports.
- Regulatory diagnostics background. Immunexpress work connects him to two FDA 510(k) de novo clearances before Elysium.
- Applied-ML specialization. His public profile centers on biomarker discovery, multiomics, and health AI/ML.
- Publication base. ResearchGate listed 24 works and 269 citations across sepsis transcriptomics, wound-healing proteomics, and exercise physiology at capture.
Affiliations
Head of Research
Thought Leadership
Publications
- Rapid and Robust Identification of Sepsis Using SeptiCyte RAPID · Journal of Clinical Medicine, 2024
- Validation of SeptiCyte RAPID to Discriminate Sepsis from Non-infectious Systemic Inflammation · Journal of Clinical Medicine, 2024
- Blood transcriptomic discrimination of bacterial and viral infections · Critical Care, 2020
- Validation of a Host Response Assay, SeptiCyte LAB, for Discriminating Sepsis from SIRS · Annals of the American Thoracic Society, 2018
- Gene networks in skeletal muscle following endurance exercise are coexpressed in young and older men · Journal of Applied Physiology, 2016
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