Rodolfo Alexander Quintero Ospina

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Rodolfo Alexander Quintero Ospina [Curriculum Vitae] (last updated May 2026)
Postdoctoral Researcher
Electrical and Computer Engineering
Purdue University
516 Northwestern Avenue, 2063 Wang Hall
West Lafayette, IN 47906, USA
Email: quinter [@] purdue [dot] edu

About me

Hi there, and thanks for stopping by!

I am a Postdoctoral Researcher in Electrical and Computer Engineering at Purdue University, working with Prof. Vassilis Kekatos. My research sits at the intersection of quantum computing, machine learning, and optimization, with a focus on developing algorithms for near-term quantum systems.

My current work centers on variational quantum algorithms, stochastic optimization, and quantum machine learning. More broadly, I study the modeling and solution of constrained and nonconvex optimization problems, combining insights from quantum algorithms with classical optimization theory.

I received my Ph.D. in Industrial and Systems Engineering from Lehigh University, where I was advised by Prof. Luis F. Zuluaga and co-supervised by Prof. Tamás Terlaky. There, I was a member of the QCOL Lab. During my doctoral studies, my research focused on the intersection of mathematical optimization and quantum Computing algorithms. Specifically, a significant part of my work involved efficient reformulations of integer programming problems for quantum optimization algorithms in NISQ (Noisy Intermediate-Scale Quantum) devices. If you'd like to learn more about my research, please take a look at the Publications and Talks sections of my website.

In the summer of 2023, I interned at Los Alamos National Laboratory under the supervision of Carleton Coffrin and Zachary Morrell, where I studied and compared adiabatic regimes of higher-order Ising formulations with Max Cut reformulations of binary polynomial optimization problems.

In addition to the above, some of my research interests include (or have included) algebraic geometry tools in integer programming, topological combinatorics, graph theory, Lagrangian duality theory, semidefinite optimization, and leveraging differential geometry tools to study symmetry over Manifolds and convex bodies.

Education

  • M.Sc., Mathematics, Universidad de Los Andes, Bogota, Colombia

  • B.Sc., Mathematics, Universidad de Los Andes, Bogota, Colombia

Links of Interest

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