CV

Education

Ph.D in Version Control Theory, GitHub University, 2018 (expected)
M.S. in Jekyll, GitHub University, 2014
B.S. in GitHub, GitHub University, 2012

Work experience

Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git

Skills

Skill 1
Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
Skill 3

Publications

Multi-Fidelity SINDy: Sparse Discovery of Nonlinear Dynamical Systems with Fidelity-Weighted Measurements

Filippo Zacchei, Ana Larrañaga, Attilio Frangi, Andrea Manzoni, and Steven L. Brunton. Multi-Fidelity SINDy: Sparse Discovery of Nonlinear Dynamical Systems with Fidelity-Weighted Measurements. , 2026.

Active Learning for Calibrating Entangling Gates via Surrogate-Based Optimization

Caleb Walton, Patricia García-Caspueñas, Filippo Zacchei, Ana Larrañaga, Steven L. Brunton, and Sara Mouradian. Active Learning for Calibrating Entangling Gates via Surrogate-Based Optimization. , 2026.

The Fuel Optimizer: A Data-Driven Numerical Framework for Formulation of Aviation Turbine Fuel

Ana Larrañaga, Steven L. Brunton, Jacobo Porteiro, and Dario Lopez-Pintor. The Fuel Optimizer: A Data-Driven Numerical Framework for Formulation of Aviation Turbine Fuel. , 2026.

How Low Can You Go? Active Learning for Sparse Model Discovery in the Ultra-Low-Data Limit

Ana Larrañaga, Urban Fasel, and Steven L. Brunton. How Low Can You Go? Active Learning for Sparse Model Discovery in the Ultra-Low-Data Limit. , 2026.

A data-driven approach for predicting the cetane number of renewable and unconventional fuels

Ana Larrañaga, James R. MacDonald, Steven L. Brunton, Jacobo Porteiro, and Dario Lopez-Pintor. A data-driven approach for predicting the cetane number of renewable and unconventional fuels. Energy Conversion and Management, 350:120940, 2026.

Assessment of the Effective Sensitivity of SARS-CoV-2 Sample Pooling Based on a Large-Scale Screening Experience: Retrospective Analysis

Jorge J Cabrera Alvargonzález, Ana Larrañaga, Javier Martínez, Sonia Pérez Castro, Sonia Rey Cao, Carlos Daviña Nuñez, Víctor Del Campo-Pérez, Carmen Duran Parrondo, Silvia Suarez Luque, Elena González Alonso, Alfredo José Silva Tojo, Jacobo Porteiro, and Benito Regueiro. Assessment of the Effective Sensitivity of SARS-CoV-2 Sample Pooling Based on a Large-Scale Screening Experience: Retrospective Analysis. JMIR Public Health and Surveillance, 10:e54503, 2024.

Robust optimization of heat-transfer-enhancing microtextured surfaces based on machine learning surrogate models

Larrañaga, J. Martínez, J. L. Míguez, and J. Porteiro. Robust optimization of heat-transfer-enhancing microtextured surfaces based on machine learning surrogate models. International Communications in Heat and Mass Transfer, 151:107218, 2024.

On the machine learning-assisted identification of the fundamental parameters of nonstandard microfin arrays to assess their heat transfer performance

A. Larrañaga Janeiro, R. D. Sandberg, J. Martínez, and J. Porteiro. On the machine learning-assisted identification of the fundamental parameters of nonstandard microfin arrays to assess their heat transfer performance. Engineering Applications of Artificial Intelligence, 136:108945, 2024.

Modeling and optimization of triple tube heat exchangers. Theoretical formulation, CFD model and experimental contrast

M.A. Gómez, J.D. Moya-Rico, A. Larrañaga, N. Cid, and J. Porteiro. Modeling and optimization of triple tube heat exchangers. Theoretical formulation, CFD model and experimental contrast. Thermal Science and Engineering Progress, 52:102658, 2024.

Tourism-Related Placeness Feature Extraction from Social Media Data Using Machine Learning Models.

P. Muñoz, E. Doñaque, A. Larrañaga, J. Martinez, and A. Mejías. Tourism-Related Placeness Feature Extraction from Social Media Data Using Machine Learning Models.. International Journal of Interactive Multimedia and Artificial Intelligence, 8(4):176–181, 2023.

Data-driven prediction of the performance of enhanced surfaces from an extensive CFD-generated parametric search space

A. Larrañaga, S. L. Brunton, J Martínez, S Chapela, and J Porteiro. Data-driven prediction of the performance of enhanced surfaces from an extensive CFD-generated parametric search space. Machine Learning: Science and Technology, 4(2):025012, 2023.

Semi-Automatic 3D Reconstruction of Atheroma Plaques from Intravascular Ultrasound Images Using an ad-hoc Algorithm

Javier Martínez, Daniel Pérez-Palau, Myriam Cilla, Neus Garrido, Ana Larrañaga, and Ignacio Pérez-Rey. Semi-Automatic 3D Reconstruction of Atheroma Plaques from Intravascular Ultrasound Images Using an ad-hoc Algorithm. Mathematics, 11(3), 2023.

Impact of artificial intelligence on assessment methods in primary and secondary education: Systematic literature review

Miguel Martínez-Comesaña, Xurxo Rigueira-Díaz, Ana Larrañaga-Janeiro, Javier Martínez-Torres, Iago Ocarranza-Prado, and Denis Kreibel. Impact of artificial intelligence on assessment methods in primary and secondary education: Systematic literature review. Revista de Psicodidáctica (English ed.), 28(2):93-103, 2023.

Proof of concept of the potential of a machine learning algorithm to extract new information from conventional SARS-CoV-2 rRT-PCR results

Jorge Cabrera Alvargonzález, Ana Larrañaga Janeiro, Sonia Pérez Castro, Javier Martínez Torres, Lucía Martínez Lamas, Carlos Daviña Nuñez, Víctor Del Campo-Pérez, Silvia Suarez Luque, Benito Regueiro García, and Jacobo Porteiro Fresco. Proof of concept of the potential of a machine learning algorithm to extract new information from conventional SARS-CoV-2 rRT-PCR results. Scientific Reports, 13(1):7786, 2023.

Experimental Study on the Stability and Transient Behavior of a Closed-Loop Two-Phase Thermosyphon (CLTPT) Charged with NOVEC 649

Ana Larrañaga, Miguel A. Gómez, David Patiño, and Jacobo Porteiro. Experimental Study on the Stability and Transient Behavior of a Closed-Loop Two-Phase Thermosyphon (CLTPT) Charged with NOVEC 649. Energies, 14(23), 2021.

Thermal study of a passive cooling device operating through a bubble lifting CLTPT of NOVEC 7000 with a two-fluid condenser

M.A. Gómez, R. Bellas, A. González-Gil, A. Cacabelos, and A. Larrañaga. Thermal study of a passive cooling device operating through a bubble lifting CLTPT of NOVEC 7000 with a two-fluid condenser. International Journal of Heat and Mass Transfer, 177:121530, 2021.

Experimental Study of the Performance of a Laboratory-Scale ESP with Biomass Combustion: Discharge Electrode Disposition, Dynamic Control Unit and Aging Effect

Natalia Cid, Juan Jesús Rico, Raquel Pérez-Orozco, and Ana Larrañaga. Experimental Study of the Performance of a Laboratory-Scale ESP with Biomass Combustion: Discharge Electrode Disposition, Dynamic Control Unit and Aging Effect. Sustainability, 13(18), 2021.

Viability of Agricultural and Forestry Residues as Biomass Fuels in the Galicia-North Portugal Region: An Experimental Study

Juan Jesús Rico, Raquel Pérez-Orozco, Natalia Cid, Ana Larrañaga, and José Luis Míguez Tabarés. Viability of Agricultural and Forestry Residues as Biomass Fuels in the Galicia-North Portugal Region: An Experimental Study. Sustainability, 12(19), 2020.

Flue Gas Recirculation during Biomass Combustion: Implications on PM Release

Raquel Perez-Orozco, David Patiño, Jacobo Porteiro, and Ana Larrañaga. Flue Gas Recirculation during Biomass Combustion: Implications on PM Release. Energy & Fuels, 34(9):11112-11122, 2020.

Experimental investigation on the integration of cold energy storage into a R744 refrigeration system

R. I. Mancescu, Y. Allouche, A. Larrañaga Janeiro, and others. Experimental investigation on the integration of cold energy storage into a R744 refrigeration system. Proceedings of the 25th IIR International Congress of Refrigeration, -, 2019.

Ana Larrañaga

CV