Rob Patro has secured a grant from NIH to enhance computational methods for long-read RNA
sequencing, technology that is crucial for investigating disease mechanisms, developing new drugs
and identifying biomarkers.
The cross-institutional project, which uses machine learning to analyze wearable sensor data, could lead to more accurate and earlier diagnoses of people suffering from Parkinson’s.
The funding supports groundbreaking work in the characterization of microbial enzymes and the development of novel wearable devices for monitoring gut health.
Sponsored by NSF, the program exposes visiting undergraduates to interdisciplinary training needed to process and analyze large scale genomic datasets.
The research funding comes from the Chan Zuckerberg Initiative, a philanthropic effort launched in 2015 by Meta founder Mark Zuckerberg and his wife, Priscilla Chan.