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Stanford statisticians tackle COVID-19

The School of Humanities and Sciences has produced a three-part series highlighting Statistics faculty working on COVID-related research. The series presents three studies in the Department of Statistics that are addressing the coronavirus outbreak using different approaches:

  • tracking genetic mutations in the coronavirus, featuring Julia Palacios
  • developing a more practical approach to predictive modeling, featuring Susan Holmes and Claire Donnat [Update: This work was included in a New York Times article published August 4th.]
  • designing clinical trials for promising new treatments, featuring Tze Lai and Philip Lavori in work with Kevin Grimes at Stanford Medicine

“Not having input from Phil, Tze and their team would have made this process much more challenging,” Grimes said. “They’re brilliant statisticians. Every time I work with them, I thank God we have them as a resource at Stanford.”