Welcome to my GitHub profile! I'm a researcher and academic with a strong focus on Operations Research and Machine Learning.

• Operations Research: Specializing in Branch and Price methods. My work involves developing and optimizing algorithms for complex, large-scale problems in various domains.
• Machine Learning: Exploring the intersection of ML and Operations Research. I'm keen on applying deep learning techniques to enhance decision-making processes in engineering applications.

• Interior Point Module for Python: Checkout my C++-based Interior Point Method (IPM) Python Library tailored for Linear Programming (LP). - https://github.com/lseman/IPyM/
• GNN for OR: Pre-print on Graph Neural Networks for Nanosatellite Task Scheduling - https://arxiv.org/abs/2303.13773

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, feel free to reach out!

Google Scholar: https://scholar.google.com.br/citations?user=PFcaR_MAAAAJ

• Email: laio [at] gos.ufsc.br