Henry Lin (astronomer)

Henry Lin
Born 1995 (age 2223)
Shreveport, Louisiana
Residence Cambridge, Massachusetts
Citizenship United States

Henry Wanjune Lin (born 1995) is an American student who won the $50,000 Intel Young Scientist award, the second-highest award at the 2013 Intel Science and Engineering Fair for his work with MIT professor Michael McDonald on simulations of galaxy clusters.[1] In 2015, he was named one of Forbes' 30 under 30 scientists.[2]

He is a 2012 alumnus of the Research Science Institute and a 2013 alumnus of the International Summer School for Young Physicists (ISSYP) at Perimeter Institute for Theoretical Physics. In November 2013, he gave a TED talk on clusters of galaxies in New Orleans, LA.[3]

Together with Harvard astronomy chair Abraham Loeb and atmospheric scientist Gonzalo Gonzalez Abad, Lin proposed a novel way to search for extraterrestrial intelligence by targeting exoplanets with industrial pollution.[4][5][6] Lin's unconventional work also includes proposing a statistical theory of human population[7] which explains Zipf's Law and proposing a novel test for panspermia in the galaxy.[8]

He is currently a physics graduate student at Princeton University [9].

References

  1. "Henry Lin". ted.com. Retrieved 24 July 2014.
  2. "30 Under 30 – Forbes". forbes.com.
  3. Henry Lin. "Henry Lin: What we can learn from galaxies far, far away – Talk Video – TED.com". ted.com.
  4. Johnson, Carolyn. "Scientists can detect pollution in search for 'intelligent' life". Boston Globe. Retrieved 24 July 2014.
  5. Overbye, Dennis. "More Eyes on the Skies". NY Times. Retrieved 24 July 2014.
  6. Lemonick, Michael. "The Search for Extraterrestrial Air Pollution". Time Magazine. Retrieved 28 July 2014.
  7. "Astrophysicists Prove That Cities On Earth Grow in the Same Way As Galaxies in Space". MIT Tech Review.
  8. "Life May Have Spread Through the Galaxy Like a Plague". Smithsonian.
  9. https://phy.princeton.edu/people/henry-lin

Further reading


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.