Research Assistant Professor at Universidad Autónoma de Zacatecas
Zacatecas, Mexico
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Summary
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Senior
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Erika Sánchez-femat is a research-focused computer scientist and PhD candidate in Artificial Intelligence with 11 years of experience spanning academia and industry across Mexico and Europe. She blends hands-on ML and deep learning research in bioinformatics, computer vision and robotics with practical data-science leadership—from building core algorithms and data pipelines at TrackChain to risk and fair-AI modeling at SoFi. As an Associate Professor and visiting researcher she has mentored students and co-advised dissertations while leading applied research projects at institutions including the Barcelona Supercomputing Center and Universitat Politècnica de Catalunya. Now a Research Assistant Professor at Universidad Autónoma de Zacatecas, she continues to bridge high-performance AI research and real-world deployment. Colleagues describe her strength as translating advanced statistical methods into scalable, explainable systems that support teaching, research and product outcomes.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS Data Science and Artificial Intelligence, Master of Science - MS Data Science and Artificial Intelligence at Centro de Investigación e Innovación en Tecnologías de la Información y la Comunicación
The National Polytechnic Institute of Mexico
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Universidad Autónoma de Zacatecas
Contributions:14 pushes, 1 branch in 2 years 4 months
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Erika Sánchez-femat - Research Assistant Professor at Universidad Autónoma de Zacatecas