معرفی
Spencer Koerner is a Lecturer in the Department of Statistics & Data Science at Carnegie Mellon University (CMU), affiliated with the Dietrich College of Humanities and Social Sciences. He completed his PhD in Statistics and Neural Computation at CMU under Rob Kass, with a postdoctoral position at the University of Pittsburgh's Department of Psychiatry. His research focuses on computational neuroscience applications, including latent dynamical systems estimation, neural synchrony models in sparse networks, and point process analysis of neural spiking. He also engages in statistical pedagogy and educational research, alongside high-dimensional statistical methodologies.
Research interests span computational neuroscience (e.g., neuron-to-neuron correlation structures), statistical machine learning techniques for neuroscientific data, and methodological advancements in high-dimensional statistics. His work emphasizes bridging theoretical statistical frameworks with practical neuroscientific questions.
No scientific awards or grants are explicitly mentioned in the provided information. Spencer currently advises no listed students and has no published articles in the given dataset. His professional address is listed as 5000 Forbes Avenue, Pittsburgh, PA 15213.
