Regina Ruane
Statistics, Operations, and Data Science
Assistant Professor
Non-tenure Track
  • Titles & RolesManaging Director, Data Science Institute
    Pedagogical Research Managing Director, Translational Research Center


Regina Ruane is an assistant professor of research in the Department of Statistical Science and executive director of Temple University’s Data Science Institute. Ruane is also the managing director for pedagogical research with the Fox Translational Research Center (TRC).  Ruane joins the Department of Statistical Science following a research fellowship with Harvard University and Temple University, where she conducted research in data science and digital analytics with a focus on networks, information systems and statistics.  In this role, she worked closely with collaborators from Columbia, MIT, Stanford, the University of Chicago, and Yale, as well as industry partners, including Amazon, Google, Disney, and LinkedIn, to identify and address problems for which a solution would have a substantial impact in the world.

Ruane designs and conducts analysis of digital experiments involving business analytics, network data, sampling, modeling and inference with social network data in complex observational studies with a time, space, and/or network component in financial technology (FinTech), crowdfunding, and emerging technologies; digital experiments involving network data; and sampling, modeling and inference with social network data.  A number of Ruane’s key research ideas have originated from collaborations with applied researchers in Tech and Finance, including Wells Fargo, Vanguard, Vertex and several startups.

Ruane earned her PhD from Drexel University and holds a MA from Columbia University and a BA from Villanova University.  Ruane has worked in industry in a variety of roles from early-stage start-ups to established industry leaders to government agencies.  Her work has appeared in journals across Information Systems, Health, and Education, including Communications of the Association for Information Systems, Online Learning, where she received the Best Paper Award, Health Behavior and Policy Review, and Journal of Opioid Management.

Research Areas

  • Methodology for the analysis of network data
  • Design and analysis of experiments on large networks
  • Approximate inference strategies for data analysis at scale

Research Interests

  • Design and analysis of experiments on large networks
  • Social Media Analytics
  • Social Network Analysis
  • Computational Social Science
  • Data, Media, and Society
  • Learning Analytics

Sample Publications

  • Samhan, B., Crampton, T., Ruane, R. (2018). The Trajectory of IT in Healthcare at HICSS: A Literature Review, Analysis, and Future Directions. Communications of the Association for Information Systems, 43.
  • Ruane, R., & Lee, V. J. (2016). Analysis of Discussion Board Interaction in an Online Peer Mentoring Site. Online Learning, 20(4), 79-99.
  • Ruane, R. & Koku, E. (2015). Social Network Analysis of Undergraduate Education Student Interaction in Online Peer Mentoring Settings. MERLOT Journal of Online Learning and Teaching.