Genome Driven Prediction of SARS-CoV-2 Case Fatality Rate
Program: Applied Biotechnology Master's Degree — Research and Development
Host Company: University of California, Davis
Location: Davis, California (remote)
Student: Aravind Chandrasekaran
The purpose of this project was to produce an end-to-end pipeline to evaluate the predicted case fatality rates of SARS-CoV-2 samples, utilizing machine learning strategies on genomic sequences.