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Author: cayobro

about.md

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 My current [projects](/projects/) include:
-* [Learning-enhanced control of soft, bioinspired robots](/projects/trunk-project/): How to combine biomechanics, traditional model-based approaches, and AI to make robots move the way we want to?
-* Control of [population dynamics](/projects/popdyn/) represented by hyperbolic partial differential equations: How can we mathematically describe and stabilize systems of multiple populations that occur, for example, in epidemics, demography, and ecology?
-* Sensors and AI for [tumor detection](/projects/grk/): How can we measure altered physical tissue properties in tumor, combine this information with imaging data and use AI to help surgeons to make decisions?
-* [Material Fingerprinting](/projects/material-fingerprinting/): How to discover material models without solving optimization problems?
+* [Learning-enhanced control of soft, bioinspired robots](/projects/trunk-project/)
+* Control of [population dynamics](/projects/popdyn/) represented by hyperbolic partial differential equations.
+* [Multi-sensor tissue differentiation for tumor detection](/projects/grk/).
+* [Material Fingerprinting](/projects/material-fingerprinting/).
 
 ### Educational and academic milestones
 

projects.md

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 ## Multi-Sensor Tissue Differentiation in Oncology
 Precise differentiation of pathological tissue during surgery is crucial in oncology. The current gold standard, histopathological analysis, involves delays due to tissue processing, impacting real-time decision-making. Intraoperative sensors measuring electrical, optical, or mechanical properties can help surgeons to make an informed decision.
 
-📌 **[Explore Project →](/projects/grk/)**
+📌 **[Explore Project →](/projects/grk/)**
+
+## Material Fingerprinting
+To understand the physical behavior of materials and accurately simulate their mechanical behavior under complex shapes and loading conditions, it is essential to develop mathematical models that accurately describe the materials’ mechanics. This mechanical characterization of materials traditionally involves solving an optimization problem. With our new approach, *material fingerprinting*, we avoid such potentially non-convex optimization problems and present a new method for the rapid discovery of mechanical material models.
+
+📌 **[Explore Project →](/projects/material-fingerprinting/)**