David Pérez Piñeiro

davidppineiro@gmail.com
GitHub / Scholar / LinkedIn

About me

I am a research scientist at Gridmatic, where I build optimization models and algorithms for quantitative energy trading.

I am interested in optimization and its applications to control, energy, and finance. I am completing my PhD at NTNU, advised by Sigurd Skogestad, and have been a visiting researcher with Richard Braatz at MIT and Stephen Boyd at Stanford.

I received a BSc in Energy Engineering from the University of Vigo and an MSc in Sustainable Energy from NTNU, supported by a “la Caixa” Foundation postgraduate fellowship.

Papers

An operator splitting method for large-scale CVaR-constrained quadratic programs (code)

E. Luxenberg, D. Pérez-Piñeiro, S. Diamond, S. Boyd. Optimization and Engineering, 2026

Home battery dispatch under a tiered peak power tariff (code)

D. Pérez-Piñeiro, S. Skogestad, S. Boyd. Optimization and Engineering, 2026

Can language models speed up general-purpose numerical programs? (code, website)

O. Press, B. Amos, H. Zhao, Y. Wu, S. Ainsworth, D. Krupke, P. Kidger, T. Sajed, B. Stellato, J. Park, N. Bosch, E. Meril, A. Steppi, A. Zharmagambetov, F. Zhang, D. Pérez-Piñeiro, A. Mercurio, N. Zhan, T. Abramovich, K. Lieret, H. Zhang, S. Huang, M. Bethge, O. Press. NeurIPS, 2025

Supervisory control design for balancing supply and demand in a district heating system with thermal energy storage

C. Zotică, D. Pérez-Piñeiro, S. Skogestad. Computers & Chemical Engineering, 2021

Optimal operation and control of a thermal energy storage system: classical advanced control versus model predictive control

C. Zotică, D. Pérez-Piñeiro, S. Skogestad. ESCAPE, 2020

Self-optimizing control of a continuous-flow pharmaceutical manufacturing plant

D. Pérez-Piñeiro, A. Nikolakopoulou, J. Jäschke, R. D. Braatz. IFAC World Congress, 2020