Miguel Romero is a Data Engineer at bld.ai since September 2022, with prior experience as a Research Assistant for Programa ÓMICAS, where contributions included the development of mathematical models and machine learning algorithms for crop gene function identification. Miguel served as a Teaching Assistant at Pontificia Universidad Javeriana Cali in the Electronics and Computer Science Department and was involved in research on process calculi. Additional experience includes freelance work for Alcaldía de Santiago de Cali and various teaching and supervisory roles in mathematics and computer science at Escuela Colombiana de Ingeniería Julio Garavito. Miguel holds a PhD in Engineering and Applied Sciences from Pontificia Universidad Javeriana Cali and has completed a PhD research internship at KU Leuven. Miguel also possesses degrees in System Engineering and Economics from Escuela Colombiana de Ingeniería Julio Garavito.
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