I'm a 4th year graduate student in Georgia Tech's Bioengineering program. My research deals with the very basic problem of how can we make optimal decisions in an uncertain world. I study this problem in the context of optimizing neurophysiology experiments to collect data efficiently. For more information please follow the link to my research. Most of my research is in collaboration with Liam Paninski.

I'm part of Georgia Tech's Neurolab. The Neurolab is a collection of faculty and students working on related problems in neuroengineering. The members of the Neurolab share resources and space, which makes its collaborative setup rather unique in academia.

I'm also one of the students in the Neurolab's IGERTfor Hybrid Neural Microsystems (HNM). An IGERT is a training program funded by the NSF to promote specific areas of research. The Neurolab's IGERT is focused on interfacing neural systems with MEMs devices to better understand neural processing and neural injury.

My research is supported by the Department of Energy's Computational Science Graduate Fellowship (CSGF). The CSGF was created to support students using high performance computing (HPC) to solve problems in engineering and science. In my research, I use (HPC) to optimize decision making by enumerating the possible outcomes of a decision and their associated value. A major computational challenge of my research is solving these problems in "real-time" so that the solution can be used to make actual decisions.