Hello! I’m Javier Porras-Valenzuela, a third-year PhD student in the Electrical and Systems Engineering (ESE) department at the University of Pennsylvania, advised by Professor Alejandro Ribeiro. My research interests include: graph machine learning, constrained learning, optimization, and test-time learning.

In a past life, I worked as a software and ML engineer for 7+ years, applying ML and OR techniques to areas such as Supply Chain, Fraud Detection, and AdTech.

Education

• PhD Electrical and Systems Engineering, (2023-present) University of Pennsylvania.
• MSc Computer Science, (2022) Instituto Tecnológico de Costa Rica (ITCR).
• BSc Information Systems Engineering, (2015) Universidad Nacional de Costa Rica (UNA).

Publications

• A Constrained Optimization Perspective of Unrolled Transformers (COML Workshop @ NeurIPS 2025)
• Size Transferability of Graph Transformers with Convolutional Positional Encodings NPGML Workshop @ NeurIPS 2025
• Loss Shaping Constraints for Long-Term Time Series Forecasting International Conference on Machine Learning (ICML), 2024
• A Deep Reinforcement Learning Approach to Multistage Stochastic Network Flows for Distribution Problems Master’s Thesis, 2022