Population Studies Facility

Director:         Eric A. Ross, PhD

Contact:           Eric A. Ross, PhD

                               Reimann R383

Staff                    Olga Tchuvatkina, MS
                               Manager of Population Studies Facility
                               Room 239 Laurel Avenue

                               Christine Huang, MS
                               Software Architect
                               Room 241 Laurel Avenue

                               Stanford Taylor, MS
                               Data Warehouse Architect
                               Room 228 Laurel Avenue

                               Pawel Przybysz, BS
                               Programmer Analyst
                               Room 235 Laurel Avenue

                               Shiju Daniel, BS
                               Senior Programmer Analyst
                               Room 237 Laurel Avenue

                               Carol Carey
                               Data Manager
                               Room 231 Laurel Avenue

Location            Reimann R383
& Phone             215-728-2891

Pricing &          Contact Eric Ross for pricing and scheduling.

The Population Studies Facility at Fox Chase provides critical informatics infrastructure and project-specific information systems for Cancer Center members. Our staff provides informatics solutions, and trains investigators, research assistants, data coordinators and laboratory technicians in their use. Our functions include development and deployment of:

  • Applications for the collection, storage and manipulation of large quantities of questionnaire, clinical, specimen and laboratory data 
  • Electronic data capture and retrieval systems
  • Report generation software
  • Quality control systems
  • Systems that provide integration and controlled exchange of data from diverse sources

Our group develops and maintains information systems that facilitate investigator-initiated activities. We are uniquely qualified because of our familiarity with the scientific methods used by investigators, substantial expertise with state-of-the-art software engineering and design, and experience with effective software tools.