Vanitha Virudachalam

Vanitha Virudachalam
  • Doctoral Candidate

Contact Information

  • office Address:

    500 Jon M. Huntsman Hall
    3730 Walnut St.
    Philadelphia, PA 19104

Research Interests: Education Operations, Healthcare Operations, Public Sector Operations

Links: CV, LinkedIn


Vanitha Virudachalam is a doctoral candidate in the Operations Management track. Her work is on the role of incentives in public sector service operations. She is specifically interested in healthcare operations and education operations. Her current research is on contracting in K-12 education and on optimal admission and discharge policies in hospitals.

Vanitha holds a B.A. in Applied Mathematics, with an emphasis in Operations Research from the University of California, Berkeley and an MPP from the Harris School at the University of Chicago. Prior to joining the doctoral program, she worked at Springfield Public Schools.

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  • Nan Liu, Sergei Savin, Matthew Steinberg, Vanitha Virudachalam (Work In Progress), Education as a Coproduced Service: Incentivizing Teachers and Students.

  • Hessam Bavafa, Lerzan Ormeci, Sergei Savin, Vanitha Virudachalam (Work In Progress), Elective Admission and Patient Discharge Policies in Hospital Environments.

  • Vanitha Virudachalam, Sergei Savin, Matthew Steinberg (Under Revision), Investing in Performance: Information and Merit-Based Incentives in K-12 Education.

    Abstract: The United States educational policy requires that K-12 students participate in annual standardized tests. As a result, school districts that have traditionally utilized ongoing “formative” assessments of student progress, are increasingly relying on additional, costly “interim” assessments. In addition, some districts are experimenting with merit-based incentives that tie teachers’ bonuses to student performance on state tests. We examine the relationship between information on student performance and monetary incentives for teachers using a two-period principal-agent model. In our model, the school district (principal) chooses whether to invest in interim assessments, and, also, how much merit-based compensation to offer to teachers, while the teachers (agents) decide on the level of effort to exert in each period. We use two-state (“proficient” vs. “not proficient”) Markovian dynamics to describe the evolution of student readiness for the tests, and assume the presence of information asymmetry between the teachers and the school district regarding the student readiness level. Our analysis shows that, for schools that are not proficient at the beginning of the year, the return from merit-based incentives is always greater than the return from information derived from interim assessments. For schools that begin the year on track to achieve proficiency, there exist settings where investing in the interim assessment is optimal, such as when the district has a low budget and the formative assessment is reasonably accurate. However, we also establish that there are settings where the provision of additional information about the student mid-year performance has a demotivating effect on teachers.

Awards and Honors

Wharton Risk Center, Russel Ackoff Doctoral Student Fellowship, 2017

Wharton Doctoral Fellowship, 2013-2018

Dean’s Scholarship (Full tuition scholarship), University of Chicago, Harris School of Public Policy, 2010-2012

Phi Beta Kappa, 2006

Regents’ & Chancellor’s Scholar, University of California, Berkeley, 2002-2006


    Latest Research

    Nan Liu, Sergei Savin, Matthew Steinberg, Vanitha Virudachalam (Work In Progress), Education as a Coproduced Service: Incentivizing Teachers and Students.
    All Research