Jeffrey Beck

Dr. Jeffrey Beck is advancing the conversation in the field of neurobiology as an Assistant Professor at Duke University. With a keen focus on neural coding and computation, Dr. Beck approaches his research from a theoretical perspective, delving into the intricacies of probabilistic reasoning and complex behavioral modeling. His work is pivotal in understanding computational models of cortical circuits and the statistical analysis of neural and behavioral data. Dr. Beck earned his Ph.D. from Northwestern University in 2003, where he laid the foundation for his future explorations in neurobiology. At Duke, he is not only a researcher but also an educator, imparting knowledge through courses such as Research Independent Study, Statistics for Neuroscience, and Research in Neurobiology. His teaching is deeply intertwined with his research, providing students with a comprehensive understanding of the field. In his recent endeavors, Dr. Beck has been at the forefront of developing non-linear latent state space models of neural networks. This innovative work is crucial for advancing our understanding of decision-making processes under uncertainty and Bayesian computation. His contributions are instrumental in shaping the future of neurobiological research and education, making significant strides in the understanding of neural networks and their applications.