Research Technology (RT)

"The growing abundance of online resources and tools is changing the way that researchers find information, process data, collaborate, and disseminate results." - Meagen Pollock, The College of Wooster


Research Technology (RT) works closely with Tufts academic and research communities to define their technology needs and provide innovative IT solutions that support the University’s goal of academic and research excellence. RT offers a wide array of services in support of teaching, learning and research.  First, RT offers critical infrastructure such as a large high-performance computing research cluster with 7,700+ cores, networked and secure storage for research data, as well as commercial and open-source software platforms. Second, RT maintains and provides a comprehensive suite of tools and consultation services for scientific computing, bioinformatics, statistics, computational methods, Geographic Information Systems (GIS), and visualization. These services offer many options such as technical support, training & workshops, technology consultation & planning, and monitoring emerging technologies. Finally, RT manages the Tufts Data Labs on the Medford and Boston campuses. The Data Labs are teaching and research computing labs designed to serve as hubs for walk-in and advanced consultations and to foster collaboration and innovation across all campuses and departments.



Infrastructure & Tools

  • Tufts Data Labs
  • High-Performance Research Computing
  • Research Storage
  • Research Data Management
  • Specialized Hardware
  • Commercial and Open-source Software Application

Consultation Services

  • Provide walk-in and advanced consultations for scientific computing, bioinformatics, data management, data engineering, statistics, computational methods, Geographic Information Systems (GIS), and visualization
  • Emerging Technologies / Grant Proposals
  • Project Management
  • University Goals and Initiatives
  • Strategic Planning

Educational Services

  • Provide educational support for scientific computing, bioinformatics, data engineering, statistics, computational methods, Geographic Information Systems (GIS), and visualization
  • Provide in-class sessions and workshops
  • Assist with course design
  • Develop & maintain online tutorials & instructional materials
  • Coordinate outreach



  • Academic Data Services - Patrick Florance, Director
  • Bioinformatics - Rebecca Batorsky, Sr. Bioinformatics Specialist
  • Research Computing - Shawn Doughty, Manager


See Research Technology Org Chart

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