معرفی
Liam Paninski is a Professor of Statistics and Neuroscience at Columbia University, co-director of the Grossman Center for the Statistics of Mind, and a member of the Center for Theoretical Neuroscience, Kavli Institute for Brain Science, and Doctoral Program in Neurobiology and Behavior. His research focuses on statistical analysis of neural data, computational neuroscience, and developing advanced methods for analyzing large-scale neural recordings.
His work spans topics such as spike sorting, calcium imaging analysis, behavioral video analysis, and decoding methods. He has received multiple grants and awards, including NSF/NIH funding, Simons Collaboration grants, and fellowships like the Alfred P. Sloan Research Fellowship. His lab collaborates on projects involving neural data science, aiming to bridge experimental neurotechnology with analytical methods.
Paninski teaches advanced courses on statistical analysis of neural data and computational statistics, emphasizing applications in neuroscience. His research integrates statistical theory with practical challenges in neuroscience, addressing questions in neural coding, network connectivity, and high-dimensional data analysis.
