Diego Aguirre
Assistant Professor at The University of Texas at El Paso
El Paso Metropolitan Area United States
Summary
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Senior🎓
Top SchoolDiego Aguirre is an Assistant Professor at UTEP with eight years of professional experience and a PhD in Computer Science, specializing in deep learning, computer vision, spoken language, and reinforcement learning. He combines academic research with industry collaboration—having partnered with Lockheed Martin, NASA, IBM, Leidos, and Google—to translate cutting-edge self-supervised and generative modeling techniques into practical systems. His recent work targets multimodal modeling of human interactions, data-driven weight initialization strategies that accelerate training and improve generalization, and AI-assisted multi-instrument music composition. Diego also develops pedagogy grounded in deliberate practice to better prepare diverse 21st-century computer science students, reflecting a rare blend of rigorous research, industry impact, and educational innovation.
8 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Computer Science, 4.0/4.0, Bachelor's degree, Computer Science, 4.0/4.0 at The University of Texas at El Paso
Spanish, EnglishGithub contributions (3)
aguirrediego/weight-initialization-relu-and-output-layers
May 2019 - Feb 2022
Contributions:8 commits, 4 pushes, 1 branch in 2 years 9 months
aguirrediego/LSTM-General-Turn-Taking-Model
Feb 2018 - Mar 2018
Contributions:9 pushes, 1 branch in 24 days
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