Researcher and academic focused on Operations Research and Machine Learning, exploring the synergy between optimization and intelligent systems.
Optimization × ML
Branch-and-Price • Neural Networks • Time Series
I'm a researcher and academic with a strong focus on Operations Research and Machine Learning. My work explores principled optimization methods and modern learning techniques to improve decision-making in engineering and real-world systems.
My research interests span the intersection of classical optimization theory with contemporary machine learning, particularly in developing efficient algorithms for large-scale problems and intelligent decision support systems.
Branch-and-Price, Decomposition, Large-Scale Optimization
Optimization-aware ML, Neural OR, Learning to Decide
Deep Learning, Sequence Modeling, Multi-step Prediction
Built from titles, abstracts, and keywords across publications.
Bucket Graph Labeling for Vehicle Routing
Modern C++ implementation of Branch-Cut-and-Price bucket graph labeling algorithm for Vehicle Routing Problems with state-of-the-art optimization techniques.
Interior Point Method for LP (C++/Python)
A fast C++-based Interior Point Method library with Python bindings tailored for Linear Programming.
Deep Learning Time Series Library
Flexible and modular PyTorch library for time series forecasting with multiple neural architectures and strategies.
CHOMP Handles Optimization of Many Problems
Modular Nonlinear Programming (NLP) solver that can chomp through tough constrained problems using multiple state-of-the-art strategies: SQP (Newton-type with filter/funnel globalization), Interior Point (log-barrier primal–dual with slacks), DFO-L1 (derivative-free exact-penalty trust region).
I'm open to collaborative projects and research opportunities. If you're interested in combining efforts in Operations Research and Machine Learning, especially in decomposition contexts, let's connect and explore possibilities.
Joint research projects and academic collaborations
Contributing to algorithms and tools for the community
Consulting and applied research opportunities
laio [at] gos.ufsc.br
I try to respond promptly to academic and research inquiries. Feel free to reach out for collaborations or questions.
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