This is an example of applying Non-negative Matrix Factorization a corpus of emails and to extract topic structure. We use the email currently stored on my desktop and find patterns of email. It turns out that most of my email is sent by machines!
I earned a Ph.D in Computational Science and Engineering at Georgia Tech. My research focuses on numerical, statistical, and streaming algorithms for data analysis. The applications include complex networks, online media, and observational medical data. My Dissertation Defense was on March 28th 2016!
My CV can be found in HTML or PDF For information on my Programming and Software related activities, you can go to my Github site.
I am a core maintainer of the Julia Package LightGraphs.
I am currently working at the Georgia Tech Research Institute on Data Analysis and High Performance Computing as applied to healthcare and social science problems in general.
For more details see about me
PhD in Computational Science and Engineering Engineering, 2016
Georgia Institute of Technology
BS in Mathematics, 2012
University of Florida
Thu, Jun 22, 2017, JuliaCon 2017
Mon, Mar 21, 2016, Dissertation Defense
Mon, Mar 21, 2016, Copper Mountain Conference on Iterative Methods
Tue, Apr 21, 2015, Thesis Proposal
Tue, Apr 1, 2014, Atlanta Golang Meetup
Sat, Feb 1, 2014, SIAM Parallel Processing Conference Minisymposium on Scientific Discovery in Graphs
This is an example of applying Non-negative Matrix Factorization a corpus of emails and to extract topic structure. We use the email currently stored on my desktop and find patterns of email. It turns out that most of my email is sent by machines!
Software and Data
JuliaGraphs is the primary organization dedicated to the advancement of graph theory and algorithms in the Julia Programming language. The flagship project is LightGraphs.jl the premier graph library in the Julia Ecosystem.
Dynamic graphs are all around us. Social networks containing interpersonal relationships and communication patterns. Information on the Internet, Wikipedia, and other datasources. Disease spread networks and bioinformatics problems. Business intelligence and consumer behavior. The right software can help to understand the structure and membership of these networks and many others as they change at speeds of thousands to millions of updates per second.