My main interest lies in trying to understand how oscillations in the brain are involved in cognitive processes, through computational methods and electrophysiological recordings in humans. Another of my interests lies in mathematical modeling of behavior. This is why I am currently conducting a study in recognition memory of faces and spatial patterns. This includes not only collecting EEG and behavioral data in the respective paradigm, but also trying to connect those data to a behavioral model that we have of the task: the NEMO model (Kahana & Sekuler, 2002). By combining these two very powerful tools: intracranial and scalp EEG recordings and behavioral modeling, we will be able to acquire a much deeper understanding of the memory task at hand (visual recognition memory in this case).

Secondly, I am interested in the oscillations in the brain themselves and developing new methods to examine them. For example, I have been using simulations of EEG data in order to investigate different signal detection methods and their efficacy. Also, I am very interested in using statistical models with different behavioral variables to predict activity in the EEG and acquire a much more detailed understanding of it than using the traditional univariate approach.

Presenting a poster at CNS conference New York (thanks to Ling Wong for the picture)

Currently I am a graduate student in the neuroscience program of the University of Pennsylvania, after having spent one year at Brandeis University.