Liam Paninski
American computational neuroscientist (born 1978)
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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 | |
|---|---|
| Born | 1978 (age 47–48) |
| Alma mater | |
| Awards | Sloan Research Fellowship |
| Scientific career | |
| Institutions | Columbia University |
| Thesis | Some rigorous results on the neural coding problem |
| Doctoral advisor | Eero Simoncelli |
| Other academic advisors | John 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]