| Birth date | 1978 (age 48–49) |
|---|---|
| Workplaces | Columbia University |
| Alma mater | |
| Thesis url | https://www.cns.nyu.edu/pub/lcv/paninski-phd.pdf |
| Doctoral advisor | Eero Simoncelli |
| Academic advisors | John Donoghue |
| Awards | Sloan Research Fellowship |
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
- ^ Chu, Jennifer (September 1, 2006). "Liam Paninski". MIT Technology Review. Retrieved 2022-02-27.
- ^ "Grossman Center". grossmancenter.columbia.edu. Retrieved 2022-02-27.
- ^ "Liam Paninski: Neural Code Breaker". The Scientist Magazine®. Retrieved 2022-02-27.
- ^ "Liam Paninski". The Data Science Institute at Columbia University. Retrieved 2022-02-27.
- ^ "Curriculum Vitae of Liam Paninski". www.stat.columbia.edu. Retrieved 2022-02-27.