Operations researcher and optimization engineer. I formulate and solve large-scale mathematical programs, and I care about the formulation at least as much as the solve.
- Academic Engagement Coordinator Europe and LATAM at AMPL Optimization, working with universities and research groups that teach, model and solve large-scale optimization problems.
- Vocal on the board of the Mexican Society for Operations Research (SMIO), 2025 to 2027.
- Incoming master's student in the Master's degree in Operations Research and Statistics at UPC-UB (Operations Research track), Barcelona.
My day-to-day sits between mathematical programming and practical engineering: mixed-integer and nonlinear modeling, decomposition methods (Benders, column generation, Dantzig–Wolfe, branch-and-price), and reformulations that sidestep Big-M and similar traps. When the instances stop cooperating, metaheuristics and careful algorithmic design.
Mostly AMPL, with plenty of Julia (JuMP) and Python, driving Gurobi, HiGHS, CPLEX and Knitro.
The domains I keep coming back to are energy markets and power systems, territorial and districting design, location science, and bilevel programming: problems whose structure is rich enough to reward careful formulation.
| Project | What it is |
|---|---|
| optex | Elixir library for modeling and solving optimization problems |
| pyoframe | Contributor. Python modeling library for large-scale models |
| Claude for AMPL Skill | Tooling that lets Claude write idiomatic AMPL |
And more stuff.
Current working papers and research lines:
- Logic-based Benders decomposition with decision diagram oracles
- Benders decomposition for the p-median problem
- Side-constrained districting with an adapted BEAMR formulation
- Linearized offspring coancestry for joint optimum contribution selection and mate allocation
Earlier work includes a matheuristic for territorial design in microfinance institutions (with Roger Z. Ríos-Mercado and Diana Huerta-Muñoz) and undergraduate research on p-median problems, GRASP metaheuristics and large-scale routing. My undergraduate thesis received the SMIO Best Undergraduate Thesis Award.
I have attended several national and international conferences. The one I am fondest of is the Mixed Integer Programming Workshop South America 2025 in Viña del Mar, Chile.
Software Engineering, FIME UANL. Diploma in Energy Economics, ITAM. Industry experience at Prolec GE (power systems and transformer manufacturing), PepsiCo (revenue management: pricing and promotions), and Bravos Power, where I was an optimization consultant on day-ahead market models for North American power systems.
I'm open to collaborating on optimization-heavy work: modeling, decomposition, energy systems, or research. The best problems are the ones that don't fit neatly into a linear model.