Thursday, November 5, 2015

Hello!

Hello!  I'm a PhD student in Computer Science/machine learning at Georgia Tech advised by James Rehg.  I currently work on three projects: continuous-time hidden Markov models (CT-HMMs) with Yu-Ying Liu and Le Song at Georgia Tech, interpretable survival models with Walter Dempsey and Susan Murphy at the University of Michigan, and scalable approximate Bayesian computation (ABC) with Ted Meeds, Tameem Adel, and Max Welling at the University of Amsterdam.  In all cases, I have an interest in applying these methods to mobile health applications.

Previously, I've worked with Tucker Balch, Chris Rozell, and Ayanna Howard at Georgia Tech, and Malcolm Atkinson at the University of Edinburgh.




Here is a list of my papers
Improving Financial Computation Speed With Full and Subproblem Memoization Concurrency and Computation: Practice and Experience December 31, 2014
Authors: Alexander Moreno, Tucker Balch

dispel4py: A Python Framework for Data-Intensive Scientific Computing Proceedings of the 2014 International Workshop on Data-Intensive Scalable Computing Systems November 2014 Authors: Rosa Filgueira Vicente, Iraklis Klampanos, Amy Krause, Mario David, Alexander Moreno, Malcolm Atkinson

Speeding up Large-Scale Financial Recomputation with Memoization Proceedings of the Seventh Workshop on High Performance Computational Finance November 2014 Authors: Alexander Moreno, Tucker Balch

Restricting Vocabulary Size in Pediatric Augmentative and Alternative Communication RESNA: New Frontiers in Assistive Technology January 21, 2015 Authors: Alexander Moreno, Christopher Rozell, Ayanna Howard

dispel4py: A Python Framework for Data-Intensive Scientific Computing (journal version, accepted) Authors: Rosa Filgueira Vicente, Iraklis Klampanos, Amy Krause, Mario David, Alexander Moreno, Malcolm Atkinson