Joao Sedoc

Department of Computer and Information Science

School of Engineering and Applied Science

University of Pennsylvania

My research interests:

- Time Series Analysis,

- Statistical NLP,

- Random Matrix Theory

- Machine Learning.

I am primarily working with Lyle Ungar as my thesis advisor and collaborating with Dean Foster, Jordan Rodu and Jean Gallier

My current projects are 

Knowledge Representation in Neural Systems - Extending Eigenwords to Eigensentences 

Spectral Estimation of Hierarchical factorial hidden Markov models

Word Clustering using Spectral Graph Methods