Update about.md

Author: sammarfy

_pages/about.md

@@ -26,7 +26,7 @@ social: true # includes social icons at the bottom of the page
 
 **Welcome to our lab!**
 
-We focus on advancing the field of machine learning (ML) to tackle complex scientific and socially relevant challenges. Led by **Prof. Anuj Karpatne**, our research emphasizes developing innovative methods in the emerging area of scientific Knowledge-guided Machine Learning (KGML). KGML represents a unique approach that combines both scientific knowledge and data in the design and learning of ML models, moving beyond traditional “data-only” or “science-only” methodologies.
+We focus on advancing the field of machine learning (ML) to tackle complex scientific and socially relevant challenges. Led by [**Prof. Anuj Karpatne**](https://people.cs.vt.edu/karpatne/), our research emphasizes developing innovative methods in the emerging area of scientific Knowledge-guided Machine Learning (KGML). KGML represents a unique approach that combines both scientific knowledge and data in the design and learning of ML models, moving beyond traditional “data-only” or “science-only” methodologies.
 
 Our primary goal is to enhance the interpretability and generalization capabilities of ML models, particularly for out-of-sample distributions and in scenarios with limited high-quality data. KGML is also known in various research communities by other names, such as ‘theory-guided data science’ (TGDS), ‘physics-guided machine learning’ (PGML), ‘science-guided machine learning’ (SGML), and ‘physics-informed machine learning’ (PIML).