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 interpretable survival models and flexible continuous-time hidden Markov models (CT-HMM) with Walter Dempsey and Susan Murphy at the University of Michigan.  In all cases, I have an interest in applying these methods to mobile health applications.





Here is a list of my papers

Survival HMM: An Interpretable, Event-time Prediction Model for mHealth ICML 2017 Authors: Walter Dempsey*, Alexander Moreno*, Susan Murphy, James M. Rehg (*equal contribution)

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