Scientific Advisor at Universidad Nacional de Cuyo
Mendoza, Argentina
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Summary
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Senior
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Top School
Carlos Catania is a scientific advisor and head of the Laboratory of Intelligent Systems (LABSIN) at the National University of Cuyo, combining over a decade of applied statistical learning research with hands-on problem solving. With a lifelong grounding in computing—from coding on a Commodore 64 and running a 90s BBS to founding a local Linux user group—he blends deep academic rigor (PhD in Computer Science) with practical software instincts. He currently advises Klari, conducts research at CONICET, and leads doctoral work and lab activities that translate statistical models into deployable solutions. Known for tackling interesting problems with a mix of code and statistical learning, he brings both old-school hacker curiosity and modern research discipline to interdisciplinary projects. Based in Mendoza, Argentina, Carlos still sometimes jokes that he’s “forgotten how to code in a real programming language,” hinting at a rare combination of humility and broad technical perspective.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidad Nacional del Centro de la Provincia de Buenos Aires
Contributions:11 pushes, 1 branch in 4 years 2 months
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Carlos Catania - Scientific Advisor at Universidad Nacional de Cuyo