CV

Ph.D. in Deep Learning and Combinatorial Optimization

University of the Basque Country (UPV/EHU), Donostia–San Sebastián, Spain

M.S. in Computational Engineering (Minor in Artificial Intelligence)

Illinois Institute of Technology, Chicago, USA

M.S. in Industrial Engineering

University of the Basque Country (UPV/EHU), School of Engineering, Bilbao, Spain

B.S. in Industrial Engineering (Minor in Robotics and Control)

University of the Basque Country (UPV/EHU), School of Engineering, Bilbao, Spain

Flextrack Challenge

• Built ML models to detect demand response events and quantify impact via counterfactual-style baselines.
• Achievement: 8th place out of 650 participants.

NeurIPS CityLearn Competition

• Designed a multi-objective control framework for energy management in buildings (HVAC, hot water, batteries).
• Achievement: 1st place out of 712 participants.

Kaggle M5 Forecasting Competition

• Forecasted Walmart sales with a hybrid time-series model combining LightGBM, ARIMA, and LSTM.
• Achievement: 22nd place out of ~2,000 participants.

NVIDIA Academic Hardware Grant (RTX A5000 GPU)

NVIDIA Corporation

• Support for research in neural combinatorial optimization during the Ph.D.

NEAR Protocol Grant

NEAR Protocol

• Funding: 35,000€
• Developed a blockchain-based decentralized academic journal.

Entrepreneurship Grant

University of the Basque Country (UPV/EHU)

• Funding: 4,000€
• Supported the creation of an AI-based company (online physiotherapy assistant).

Basque Government Excellence Grant to Study in Chicago

Basque Government

• Funding: 15,000€
• Supported graduate studies at Illinois Institute of Technology.