Scientist I

The petitioner proposes to utilize advanced computational genetics and multi-omics data analysis tools to elucidate the mechanisms underlying complex diseases and phenotypes. Her work focuses on uncovering biological processes to improve early diagnosis and treatment of these conditions.

The petitioner proposes to develop sophisticated mathematical models and non-linear data analyses to simulate, monitor, and reduce the spread of viral and bacterial infections. This work focuses on providing a framework for analyzing large amounts of nonlinear data inherent to infectious disease outbreaks.

The petitioner proposes to use evolutionary theory and bioinformatics to uncover molecular mechanisms behind global health threats, including viral and bacterial infections and antimicrobial resistance. Her work involves developing novel computational tools and machine learning models for antibiotic resistance prediction and genomic analysis. The intended impact is to provide actionable insights into biological systems to improve the detection and prevention of pathogens like SARS-related viruses.

The petitioner proposes to develop data-driven computational models across molecular, individual, and population scales to improve healthcare delivery. The work focuses on connecting biological data to actionable insights for predicting pathogen evolution, treatment responses, and population-level risks. This research aims to strengthen prediction, preparedness, and response across biological systems using AI-driven analysis.