Alexander Gray
Location: (Atlanta, GA)
Personal Research Web Page: http://www.cc.gatech.edu/~agray
Keywords: machine learning, data mining, statistics, high dimensionality, massive datasets, optimization, algorithms, automated program synthesis, computational geometry, linear algebra, data-intensive/distributed computing, astrophysics, mass spec, SVMs
Posted on: Thursday, June 4th, 2009
Broad Research Area: AI / Machine Learning / Robotics / Vision, Databases / Information Retrieval / Data Mining, Graphics / Visualization, Information Systems / Information Science, Numerical/Scientific Computing / HPC / Data-Intensive Scalable Computing, Programming Languages / Compilers, Scientific/Medical Informatics, Software Engineering, Theory / Algorithms
Research Interests:
The FASTlab (Fundamental Algorithmic and Statistical Tools Laboratory), consisting of 19 people including 11 PhD students, works on the problem of how to perform machine learning/data mining/statistics on massive datasets, and related problems in scientific computing and applied mathematics. We employ a multi-disciplinary array of techniques from machine learning, nonparametric statistics, convex optimization, linear algebra, discrete algorithms and data structures, computational geometry, computational physics, Monte Carlo methods, distributed/cloud computing, data visualization, programming language theory, and automated theorem proving. We have developed the current fastest algorithms for several of the most fundamental machine learning methods. We also develop new machine learning methods for difficult aspects of real-world data. Our work has enabled high-profile scientific results which have been featured in Science and Nature. We strive for first-of-a-kind analyses of massive datasets from domains such as cosmology, cancer diagnosis, spam blacklisting, and retail transactions.
Contact Information:
email obfuscated - click to reveal
www.cc.gatech.edu/~agray (outdated; email is best)
