I build solutions to complex problems by applying a strong foundation in mathematics and computational modeling to advanced optimization and quantum algorithms.
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Science of small things
BSc. Physics. MSc. Artificial Intelligence.
PhD. Candidate Artificial Intelligence.
Data Scientist.
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Universidad Veracruzana, Universidad Kuepa.
- Xalapa, México
- https://eisaacjc.github.io/
🔭 About Me My passion lies at the intersection of theoretical research and practical application. My work is grounded in a strong foundation in applied mathematics, which allows me not only to develop but also to understand the models behind the algorithms deeply.👨💻 Currently, my research focuses on Quantum Architecture Search (QAS).🌱 Always learning about Quantum Machine Learning and Advanced Multi-objective Optimization.💬 Ask me about Python, optimization algorithms, Qiskit, or how to approach complex computational problems.📫 The best way to reach me is via email: eisaacjc8@gmail.com🚀 My Tech StackThese are the tools and languages I use to transform mathematical theory into practical results, from simulation and modeling to quantum software development.📊 My GitHub Stats
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DeepGA-Analisis-Exploratorio
DeepGA-Analisis-Exploratorio PublicComparaciones de DeepGA con el estado del arte.
Jupyter Notebook 2
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Advanced-Deep-Learning
Advanced-Deep-Learning PublicA repository for the academic material for the courses of Deep Learning I & II, Computer Vision I & II, MLOps.
Jupyter Notebook 1
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Ciencia-de-datos-para-inteligencia-de-negocios
Ciencia-de-datos-para-inteligencia-de-negocios PublicEste es un curso para estudiantes de licenciatura en ciencias e ingenierías con los elementos básicos para hacer frente a problemas de ciencia de datos.
Jupyter Notebook
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