Juan Carlos Martínez Mori.
Juan Carlos Martínez Mori.


I am a PhD student in the Center for Applied Mathematics at Cornell University, where I am fortunate to work with Samitha Samaranayake. My research interests are in the fields of combinatorial optimization and online decision-making, especially in problems with practical applications. Learn more about my work here.

This Summer, I will be a Research Science Intern at Amazon. Next Fall, I will visit the UCLA Institute for Pure and Applied Mathematics (IPAM) as a Fellow for the semester-long program Mathematical Challenges and Opportunities for Autonomous Vehicles.

I received a Bachelor of Science in Civil Engineering and a Minor in Computer Science from the University of Illinois at Urbana-Champaign in May 2017. While at Illinois, I was advised by Dan Work (now at Vanderbilt University). My research included traffic esimation in safety-critical environments as well as applied machine-learning for freight-rail systems.

I was born and raised in Guayaquil, Ecuador. In high school, I had the opportunity to complete the International Baccalaureate Diploma Programme, which motivated me to pursue a career in STEM. I was able to complete my undergraduate education in the United States through a very generous scholarship awarded by the Government of Ecuador.

I find the following axioms, which I discovered here, to be truly inspiring and empowering:

  • Axiom 1. Mathematical talent is distributed equally among different groups, irrespective of geographic, demographic, and economic boundaries.
  • Axiom 2. Everyone can have joyful, meaningful, and empowering mathematical experiences.
  • Axiom 3. Mathematics is a powerful, malleable tool that can be shaped and used differently by various communities to serve their needs.
  • Axiom 4. Every student deserves to be treated with dignity and respect.


  1. Bounded Asymmetry in Road Networks. Juan C. Martínez Mori and Samitha Samaranayake. Scientific Reports, 2019.
  2. The Batched Set Cover Problem. Juan C. Martinez Mori and Samitha Samaranayake. Manuscript, 2018.
  3. Prediction of arrival times of freight traffic on US railroads using support vector regression. William Barbour, Juan C. Martínez Mori, Shankara Kuppa, and Daniel Work. Transportation Research Part C: Emerging Technologies, 2018.
  4. Predicting delay ocurrence at freight rail sidings. Juan C. Martínez Mori, William Barbour, Shankara Kuppa, and Daniel Work. In Proceedings of the Transportation Research Board 97th Annual Meeting, 2018.
  5. Estimating traffic conditions from smart work zone systems. Yanning Li, Juan C. Martínez Mori, and Daniel Work. Journal of Intelligent Transportation Systems, 2018.