Liam Paninski

Short description: American computational neuroscientist

Liam Paninski

Born| 1978 (age 47-48)
Alma mater|

* Brown University
* New York University

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

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]

## 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. ↑ 1.0 1.1 1.2 Chu, Jennifer (September 1, 2006). "Liam Paninski" (in en). https://www.technologyreview.com/innovator/liam-paninski/.
2. ↑ "Grossman Center". http://grossmancenter.columbia.edu/.
3. ↑ 3.0 3.1 "Liam Paninski: Neural Code Breaker" (in en). https://www.the-scientist.com/scientist-to-watch-old/liam-paninski-neural-code-breaker-46404.
4. ↑ "Liam Paninski" (in en-US). https://datascience.columbia.edu/people/liam-paninski/.
5. ↑ 5.0 5.1 "Curriculum Vitae of Liam Paninski". http://www.stat.columbia.edu/~liam/cv/.

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