Assistant Vice President, Big Data Research
Oversees the four departments under Big Data Research: Database Research, Data Mining, Information Visualization, and Statistics Research. Big Data Research focuses on large scale statistical analysis, visualization, and computation.
Research Interests: Modeling graph and network data, social networks, text mining; Bayesian methodology; Bayesian model averaging; baseball analysis (saber metrics).
Director, Statistics Research
Statistics Research is one of the four departments under Big Data Research. The department's research focuses on promoting technical approaches to solving business problems that represent a competitive advantage for AT&T, and lead to significant new technology and/or intellectual property.
Research Interests: Customer behavior and experience modeling; partnering with business leaders to improve the customer experience; social networks and modeling influence; text mining.
Research Interests: Information security, statistical analysis, semi-structured data, media indexing, and network services.
Research Interests: Data quality and data integrity, statistical analysis, and customer experience modeling.
Research Interests: Spatial-temporal data modeling, social network analysis, data integration and data quality.
Research Interests: Text mining, data privatization, security behavioral modeling, model selection, and unsupervised learning methods.
Research Interests: Data mining, text mining, analytical computing and intelligent systems. Applications include solving real problems in various areas of telecommunication systems such as customer care, network planning, call traffic analysis, risk management, and strategic planning.
Research Interests: Data analysis and statistical inference for consumer, business, mobility device and network data; AT&T stores inventory mix and geo-demographic analysis; mathematical demography and medical decision making.
Research Interests: Bayesian statistics, spatio-temporal modeling, computational statistics, topic modeling, natural language processing, and machine learning.
Research Interests: Computer-intensive statistical procedures, capture-recapture methods, analysis of call detail for traffic engineering purposes, statistical use of simulation models, particularly population dynamics models for marine mammals.
Research Interests: Statistical computing, data visualization, interactive analysis of statistical forests (KLIMT); co-developer of iPlots; member of the R core development team.
Research Interests: Spatio-temporal mining, time series, Bayesian computation, and data mining.
Research Interests: Nonparametric methods that are robust and easily implementable on large multivariate data; data streams; data quality: co-author of Exploratory Data Mining and Data Quality
Research Interests: Signatures, models, visualization, and computational systems for telecommunications usage/fraud and for health care outcomes: real-time alerting and reporting. Statistical analysis of shape. Data mining. Robust and exploratory data analysis
Research Interests: Large-scale distributed machine learning, heterogeneous learning, deep learning, and information retrieval. Applications include customer modeling, advertisement, network improvement, and customer service quality.
|Vaidyanathan (Ram) Ramaswami|
|Anushka Anand||Tableau Software|
|Milena Banjevic||Merrill Lynch|
|Zach Cox||Charles River Analytics|
|Alan Gous||Cariden Technologies|
|Rafal Kustra||University of Toronto|
|Dongyu Lin||AT&T Labs|
|Clayton Nall||Stanford university|
|Cassandra Pattanayak||Wellesley College|
|Gina Maria Pomann||NC State|
|Jie Shen||Capital One|
|Carson Sievert||Iowa State University|
|Claudia Tebaldi||University of British Columbia|
|Chun-Yu Tsai||Columbia University|
|Eric Vance||Virginia Technical Inst. and State Univ.|
|Juemin Yang||Johns Hopkins University|
|Congrui Yi||University of Iowa|
|Jingjing Zou||Columbia University|