I am a graduate student in the Computer Science department at Rutgers University, working in data analysis with a focus on feature selection and its applications to machine learning. I see computer science as a hub enabling interdisciplinary applications, and I have used this perspective in my work in financial modelling, bio-informatics and a variety of topics on language processing.

Currently, my main work revolves around a combinatorial method of data analysis, which I called cPCA. This method performs a structural analysis of the data, based on monotone systems. It is aimed at constructing a systematic description of the data, and, among others, it can be used for feature selection.

In these pages I included a résumé, which can be browsed online in html, or downloaded in a couple of formats better suited for printing. A list of my publications is also provided, with the complete documents available for download, where permitted. Much of my work has been dedicated to creating a convenient platform for experimenting with various machine learning methods, and this is made available as a package called libAML.