Liam Paninski

Liam Paninski (born 1978) is an American computational neuroscientist who specializes in neural data science.[1] He is a professor in the Departments of Statistics and Neuroscience at Columbia University, where he co-directs the Grossman Center for the Statistics of Mind.[2] Paninski's research focuses on using statistics to decipher electrical signals from the brain.[1][3]

Liam Paninski
Born1978 (age 44–45)
Alma mater
AwardsSloan Research Fellowship
Scientific career
InstitutionsColumbia University
ThesisSome rigorous results on the neural coding problem
Doctoral advisorEero Simoncelli
Other academic advisorsJohn Donoghue

Education

Paninski attended Brown University, where he received a Bachelor of Science degree in neuroscience in 1999. At Brown, Paninski was introduced to neuroscience research in the lab of John Donoghue.[3] He was also influenced by applied mathematicians on faculty including Stuart Geman and David Mumford.[4] Paninski completed his Ph.D. in neural science at New York University's Center for Neural Science in 2003 under the direction of Eero Simoncelli.[5]

Career

Paninski began teaching at Columbia in 2005.

In 2006 Paninski was named in MIT Technology Review's list of Innovators Under 35.[1] He received a Sloan Research Fellowship in 2007.[5]

References
  1. Chu, Jennifer (September 1, 2006). "Liam Paninski". MIT Technology Review. Retrieved 2022-02-27.
  2. "Grossman Center". grossmancenter.columbia.edu. Retrieved 2022-02-27.
  3. "Liam Paninski: Neural Code Breaker". The Scientist Magazine®. Retrieved 2022-02-27.
  4. "Liam Paninski". The Data Science Institute at Columbia University. Retrieved 2022-02-27.
  5. "Curriculum Vitae of Liam Paninski". www.stat.columbia.edu. Retrieved 2022-02-27.
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