I am a 4th year Ph.D. student at the University of Arizona in the Program in Applied Math. My research interests are in computational neuroscience, particularly in applications of statistics and machine learning to spike train data in order to obtain information about neurons and their function. Due to the complexity of the brain, the state of treatment for brain-related illnesses lags far behind most other organs. Many of the most common illnesses such as Alzheimer's, epilepsy, depression, schizophrenia, or autism have no reliable cure. Developing better statistical tools for extracting information from neural recordings will hopefully lead to better diagnosis and treatment of these illnesses, and ultimately a better understanding of how the brain works.

The picture to the right is a drawing by Santiago Ramón y Cajal. Made in 1899, this drawing illustrates the intricate layered structure of neurons in cortex. The left two columns are nissel-stained sections of visual and motor cortex, respectively, which show only the cell bodies. The rightmost column is a golgi-stained slice which shows the connections between neurons.

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