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]}

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]

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]