Applying Data Science techniques and technologies to create solutions helping scientists engaged in drug discovery access and exploit networks of public life sciences data.

Work with clients to explore and develop information technology solutions based on core areas of expertise: data science, semantic technology, artificial intelligence.

Lead the development of VOM (Visual Ontology Modeler), a diagram-based software product for visualizing, editing, and managing OWL ontologies (semantic models).

Creating software to collect and analyze mobile app usage data (primarily for mobile games), to define segments of app users for determining the pricing of virtual goods.

Responsible for management of data resources and development of analytic solutions, involving analysis of claims data to identify under/over-diagnosis in Managed Care programs

Applying advanced technologies (optimization, semantic technologies) to operational problems in Pharmacy Benefits Management.

Responsible for design and implementation of an online Bid Recommendation Engine. Site provided users with recommendations for placing bids with on-line travel auction sites such as Priceline and Hotwire, by collecting and analyzing airline fare and flight data.

Member of NCR/Teradata Data Mining Lab.• Creation of analytic models (customer value, target marketing) for Teradata's data warehouse customers. • Designed algorithms to include in the Teradata Warehouse Miner data mining product. • Co-author of CRISP-DM, the most widely-adopted data mining process model (http://en.wikipedia.org/wiki/Cross_Industry_Standard_Process_for_Data_Mining).

Member of Human Interface Technology Center.• Performed a study of the data mining tool marketplace to identify companies for partnership and referral agreements. • Analyzed grocery store sales data to predict effect of pricing and promotion strategies on sales volume and profit.• Created a Case-Based Reasoning (CBR) prototype, for National Medical Practices Knowledge Bank project, supported by NIST, Allegheny General Hospitals, and Carnegie Mellon University.

• Conducted research in machine learning, ontologies, Bayesian inference.• Created rule induction algorithm (generates predictive rules from data) from which Lockheed launched a product named Recon(TM), purchased by two mutual fund customers for use in analyzing equity portfolios.

Research in machine learning and model-driven software generation.