As a 2024 Schmidt Science Fellow, Daniel’s work seeks to expand access to affordable, general purpose diagnostic imaging in under-served and remote communities.
Ultrasound is a safe, affordable, and commonly used medical imaging tool. However, it has limitations due to poor spatial resolution and inconsistent results across different operators.
Daniel will explore using a new class of miniaturized acoustic sources, called acoustic frequency combs, to distinguish tissue types and pathologies more accurately.
If successful, this approach could lead to more precise diagnoses for a broader range of diseases, of particular benefit in remote or economically disadvantaged areas, where more costly imaging technologies are less accessible.