Research Interests

My research interests include:

  • Convex relaxations for NP-hard problems (including sum of squares techniques)
  • Polynomial optimization 
  • Semidefinite programming, in particular improving scalability
  • Applications of optimization to social sciences.

Honors and Awards

  • Recipient of the 2017 School of Engineering and Applied Science Award for excellence.
  • Selected to attend the Young Researchers Workshop organized by Cornell University in October 2017
  • Selected to attend the EE/CS Rising Stars Workshop at Stanford University in November 2017
  • Recipient of the 2016 Best Student Paper Award for the INFORMS Computing Society for my paper "DC Decompositions of Nonconvex Polynomials using Algebraic Techniques".
  • Gordon Wu Fellow (September 2012-May 2016)


  • Co-organized (with Amir Ali) a workshop on solving large scale SDPs for controls, robotics and machine learning for CDC 2016. Details about this full-day workshop can be found here.
  • Student delegate for the organization of the Princeton Optimization Seminar.
  • Co-supervised the senior theses of Mihaela Curmei ('17), Ellie McDonald ('17), and Salena Hess ('16).

Press Coverage

  • This recent article in Quanta magazine does a great job of explaining some aspects of DSOS and SDSOS (introduced by Amir Ali and Ani) and its follow-ups that we have worked on with Amir Ali.