Prof Christl Donnelly, Head of the Department of Statistics, was honored by Oberlin College and Conservatory on Monday 22nd May 2023, with an Honorary Doctor of Science degree. This prestigious recognition celebrates her contributions to the field of statistics and her dedication to advancing public health.
Accompanying Prof Donnelly were other distinguished individuals who also received honorary degrees during the commencement ceremony:
- Richard Powers, Pulitzer Prize-Winning Author - Honorary Doctor of Humanities
- Tommie Smith, Activist and Olympic Gold Medallist - Honorary Doctor of Humanities
- Major Joe Womack, Africatown Leader and Activist - Honorary Doctor of Humanities
In accepting this honor and acknowledging the formative influences of Oberlin on her life, Prof Donnelly expressed her gratitude to Oberlin for the recognition and reiterated her commitment to leveraging statistical methods to improve public health worldwide.
The honorary degree bestowed upon Prof Donnelly and her esteemed counterparts by Oberlin highlights their exceptional achievements and dedication to their respective fields.
https://www.oberlin.edu/commencement/speakers-and-award-recipients
Photo credit: Scott Shaw (top), Mike Crupi (bottom)
What does a statistician do for the England football team?
From squad selection to modelling how footballs behave at altitude, statistician Matt Penn explains how data is helping shape the modern game, and why coaches will always matter more than the numbers.
New evidence suggests vast hidden magma systems inside Mars
Researchers from the Departments of Earth Science and Statistics have found evidence that Mars once hosted enormous, Earth-like magmatic systems deep below its surface – even though the planet lacks the plate tectonics long considered essential for this kind of geological complexity. The findings open up new possibilities for how rocky planets become habitable.
Finding a needle in the genomic haystack: Targeting rare genes using statistical outliers
In statistical modelling, extreme outliers are often written off as 'noise'. But a new study by researchers from Oxford's Department of Statistics and Big Data Institute published this week in The American Journal of Human Genetics reverses that principle, using these outliers as the basis of a targeting system for locating rare, high-impact genetic mutations.