WELCOME!
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Welcome to my site! My name is Adam. I'm currently a post-doc working with Dr. Jonathan Pillow at the Princeton Neuroscince Institute (PNI). I graduated with a Ph.D. in ECE at the Georgia Institute of Technology working with Dr. Christopher Rozell at the Center for Signal and Information Processing (CSIP) and with close ties to the Georgia Tech Neurolaboratory. I work primarily in the areas of probabilistic modeling, sparsity models, and applications thereof (in particular to remote sensing technologies and theoretical neuroscience). I believe that understanding the complex sensory encoding that the brain performs is key to both furthering our understanding of how we as humans experience the world and how we can adapt these highly successful methods of sensory manipulation to further our technology. Sparsity and other low-dimensional models have already taken important initial steps and have lead to breakthroughs both in sensing technologies and neuroscience. In theoretical neuroscience, sparsity models have fairly accurately predicted neural responses for both the auditory and visual tracts. In addition, these models have lead to state of the art methods for de-noising, inpainting and other important image processing techniques.

I have had the opportunity to have worked on a mixture of projects spanning from the theoretical to the applied. As an undergraduate researcher at The Cooper Union's center for Signal Processing, Communications and Computer Engineering Research (S*ProCom2), I worked with Electroencephalography (EEG) data from the language center of the brain. For my master's thesis I worked extensively with adaptive filtering, developing an adaptive method for adjusting sub-band widths for sub-band adaptive filters. In my graduate studies at Georgia Tech I worked on a number of projects, including characterizing the short term-memory (STM) of random neural networks, developing stochastic filtering methods for correlated sparse signals, and developing methods to further hyperspectral imaging information extraction. Currently I am also working on a number of signal processing techniques for two-photon calcium imaging, as well as probabilistic models for neural spike trains.

Aside from research, I also run the Computational Neuroscience Journal Club at PNI.

My full CV is here: pdf