# Find here my most updated Research Statement

I got my PhD in Algebraic Topology from the University of Florida Mathematics, Department under the supervision of A. Dranishnikov. I find the interplay between algebra and topology fascinating but even more so when it is applied to real world problems. Thus, during my last years of PhD and for the 2 years of my post-doc I explored the field of Topological Data Analysis, an interesting application of Algebraic Topology in point-clouds and data analytics in general. During my years at North Carolina State University, I became a part of the Lab of Analytical Sciences, a collaboration between NCSU and NSA. During those years I was introduced to ideas like machine learning, image recognition and data mining in general and I have geared my research towards these areas. As a member of Florida Polytechnic University I worked mostly on Big Data and Health Informatics problems using, among other tools, Neural Networks and Support Vector Machines. As a member of the Experimental Statistics Department at LSU I am applying those machine learning techniques to Precision Agriculture and Price analysis.

I have a total of 8 papers published in peer reviewed journals and conferences and at least 8 more in various stages of preparation. I am a co-creator in 2 patents issued with the help of NCSU and have successfully acquired 2 internal grants at Florida Polytechnic university of $\$40,000$ and $\$25,000$ respectively. I have had my second year of my post-doc being self funded from a grant I wrote, while I was at NC state.

I am not the person to stay rooted in one field but I like to explore different problems and different methods of solving them. My interests are very broad as are the backgrounds of my collaborators which is something I really enjoy.