JEN Associates, Incorporated (JAI) was founded with a singular purpose: to enable state, federal and private leaders and policymakers make better healthcare public policy and operational decisions through the use of data and information. Through its partnerships with leading academic and research institutions, JAI has assembled a unique team of nationally recognized health policy researchers, economists, clinicians, and data/system architects to assist clients in understanding and acting upon data-driven evidence. The company is a national leader in providing data-driven healthcare analyses based on inter-disciplinary models of applied research, blending formal econometric approaches with epidemiological and clinical research methods.

JAI Team

Daniel Gilden
President & CEO

Mr. Gilden is recognized as an expert in the use of Medicare, Medicaid and other health data for research for diverse applications such as medical research, public policy planning, public health surveillance, epidemiology, and private sector litigation support.  Under his direction, JEN Associates (JAI) has assembled a team of system designers, programmers and analysts who have gained a national reputation in the management and interpretation of large health care Medicare and Medicaid claims databases.  He has a demonstrated ability to work successfully and flexibly with collaborators from academia, government, and industry on projects in multiple areas of research, including analysis of patterns of disease, treatment effectiveness and outcomes, the actuarial analysis of Medicare and Medicaid data and population dynamics, and policy development.   Mr. Gilden has demonstrated supervisory capabilities in a field where problems in multi-party professional and technical coordination create a challenging managerial environment.  CMS awarded JAI a CMS Master Contract for Medicare and Medicaid program planning and evaluation referred to as Medicare/Medicaid Research and Demonstration (MRAD).  Mr. Gilden serves as the lead Principal Investigator for the MRAD consortium headed by JAI, that includes research groups at Harvard, Duke, University of Massachusetts, University of Pennsylvania, University of North Carolina, University of Alabama, Albert Einstein Center for Urban Healthcare.

Christopher Coulthard
Vice President, Technology

Mr. Coulthard has developed and implemented the JAI research data warehouse, a system designed to efficiently produce data abstracts and summarization by complex population type on an on-demand basis.  Mr. Coulthard is also responsible for the operations of the JAI Data Center located in Cambridge, MA.  His primary project focus has been the implementation of software systems and interfaces that inter-operate with large data structures for transactional or large-scale processing applications.  This work has required the adaptation of large national and state Medicaid and Medicare databases into linked, integrated, and efficiently accessible data structures and the development of research compatible user interfaces

Angelina Tong Lee, Ph.D.,
Senior Programmer/Analyst

Dr. Lee has adapted Medicaid and Medicare data for policy planning and economic forecasting applications for projects from the national MSIS source and for the states of Maryland, Massachusetts, Minnesota, Ohio and California.  She has designed and written programs for the interpretation and analysis of claims data from disparate sources, implemented algorithms for the categorization of service types, identified disability and impairment from diagnostic data, and produced analysis of adverse medical outcomes.  While at JAI Dr. Lee has specialized in the production of computer programs for the flexible adaptation of data from multiple sources.  She has concentrated on the development of highly adaptive data importation and categorization systems.  She is directly responsible for the design and implementation of production level code that has been used repeatedly for the analysis of Medicaid and Medicare data from over ten states. Dr. Lee is an expert in the implementation of the data driven simulation tools. 

Joanna Kubisiak, M.P.H.
Epidemiologist and Senior Programmer/Analyst

Ms. Kubisiak has experience with the identification of disability, impairment, and injuries in Medicare and Medicaid populations as a result of her participation in the analysis of frailty patterns in elderly dually eligible populations.  The frailty project required Ms. Kubisiak to analyze Massachusetts Medicaid and Medicare claims and enrollment data to identify and describe impairments, disabilities, and injury rates in populations requiring long term care services.