Pardis Sabeti Quotes


It’s a really exciting moment when you know something about the whole world that nobody else does.


Context

See related quote for another scientist with a first discovery.


Citations

Pardis Sabeti, Genetic Biologist, Description of the feeling when she made a unique scientific discovery, Quoted in Smithsonian, December 2012

Sourced by: Eigen's Political and Historical Quotations

Linked Quotes

Dr. Snyder was the youngest physicist at Los Alamos working on the Atom Bomb Manhattan Project. James Alfred Van Allen (1914–2006) had theoretically predicted that there was a “belt” of small rocks and pebbles around the solar system in a particular orbit but his hypothesis could not be confirmed because the rocks of the belt would be too small to be detected by the telescopes and sensors of the time. Snyder, at the Jet Propulsion Laboratory, was the head of a team that launched a rocket into the stratosphere whose sensors could detect much smaller objects than ever before because there was no interference from the Earth’s atmosphere. The sensor signals were radioed back to Snyder’s computers which produced thousands of pages of wide paper, line printer output which then had to be read and deciphered. Snyder took them home to start the deciphering process. Snyder’s wife Marjorie, had been used to helping with the mathematical process. At 2 AM, with the print outs spread on their living room floor, they “saw” the many small objects exactly where Van Allen predicted they would be. After savoring the fact that they knew something that no one else in the world knew, they called Professor Van Allen who was delighted to be awakened with the news. See related quote for another example of a scientist who made a unique discovery.


Related Quotes
Pardis Sabeti
Pardis Sabeti
  • Born: December 25, 1975
  • Nationality: Iranian
  • Profession: Scientist

Pardis Christine Sabeti (Persian: پردیس ثابتی‎) is an Iranian-American computational biologist, medical geneticist and evolutionary geneticist. She developed a bioinformatic statistical method which identifies sections of the genome that have been subject to natural selection and an algorithm which explains the effects of genetics on the evolution of disease.