My research is focused on mathematical and statistical problems relating to functional Magnetic Resonance Imaging (fMRI). The topics I am interested in involve designing new k-space sampling trajectories; developing new reconstruction algorithms for transforming the resulting k-space data into images; and the statistical analysis of fMRI time series data. The latter includes developing new methods for studying brain connectivity and predicting psychological or disease state using neuroimaging data
Coursera
Explore the world of Functional Magnetic Resonance Imaging (fMRI) in our introductory course designed for psychologists, statisticians, neuroscientists, and other professionals interested in understanding the human mind and brain. Gain insights into MR Physics, K Space, experimental design, data acquisition, analysis, and psychological inference.
Coursera
Explore the intricate world of Functional Magnetic Resonance Imaging (fMRI) as you advance your knowledge on how to analyze fMRI data effectively. This course, Principles of fMRI 2, is designed for professionals from various fields including psychology, statistics, neuroscience, and more who wish to deepen their understanding of this powerful brain imaging technique.