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Suraj Pavagada
Adaptive Biosensing for Metabolic Health
Suraj is a postdoctoral researcher in Stanford Radiology developing DART-Met, a optoelectronic sensing platform designed to extract rich metabolic information from biofluid samples and enable earlier, more informative biological insight. Motivated by the diagnostic gaps in metabolic liver disease, his work focuses on combining adaptive sensing with data-driven analysis to expand what can be measured non-invasively. Suraj earned his PhD from the University of Cambridge, where he developed bioelectronic and microfluidic sensing platforms for early cancer detection, following a Master’s in Sensor Technologies at Cambridge and a Master’s in Medical Device Design and Entrepreneurship at Imperial College London. He is excited to translate measurement platforms that support better decision-making across health and biological systems. Outside the lab, Suraj enjoys playing classic rock on his guitar and sneaking in a quick nine holes on the golf course.