Statistical relational learning, data mining/knowledge discovery in databases; machine learning; network-based marketing; dynamic networks
Use of consumer networks for target marketing and fraud detection; Data mining, machine learning and statistical relational learning and their alignment with business problems.
(with D. Agarwal, R. Bell, and C. Volinsky)
“Building an Effective Representation of Dynamic Networks.” Journal of Computational and Graphical Statistics (Sep 2006).
(with F. Provost and C. Volinsky)
“Network-based Marketing: Identifying Likely Adopters via Consumer Networks.” Statistical Science 22(2): 256-276 (2006).
(with A. Bernstein and F. Provost)
"Toward Intelligent Assistance for a Data Mining Process: An Ontology-Based Approach for Cost-Sensitive Classification." IEEE Transactions on Knowledge and Data Engineering 17(4): 503-518 (2005).
(with F. Provost)
"The Myth of the Double-blind Review? Author Identification Using Only Citations." SIGKDD Explorations 5(2): 179-184 (2003).
PhD, New York University, 2007; MPhil, New York University, 2003; BEE, Georgia Institute of Technology, 1995; BS, Spelman College, 1995
Resident Visiting Researcher (for Fraud, Network Analysis and Communities of Interest), AT&T Labs Research, Florham Park, NJ, 2006-present
Dr. Fred Renwick Fellowship, NYU, 2004-2005; KPMG Doctoral Scholar, KPMG, 2000-2005; Doctoral Fellowship, NYU, 2000-2004; NYU Opportunity Fellowship, NYU, 2000-2003, Doctoral Fellowship, NBMBAA, 2000,2002,2005; Excellence in Teaching Award, NYU, 2003
Technical Consultant, AT&T Labs Research, Florham Park, NJ, 2003-2006
