Karina Chiñas Fuentes
About me
I hold a BSc in Nanotechnology Engineering from ITESO in Mexico and a master’s degree in Nuclear Fusion Engineering, completed at the University of Stuttgart in Germany and Ghent University in Belgium. I am currently pursuing a PhD in Nuclear Fusion Engineering at Ghent University, in collaboration with CEA Cadarache in France.
I am a nanotechnology and nuclear fusion engineer passionate about applying machine learning techniques, including Physics-Informed Neural Networks (PINNs) and Bayesian methods, to accelerate simulations and extract meaningful insights from complex signals.
My curiosity lies at the intersection of stochastic calculus, information theory, and advanced statistical physics. I am especially motivated by understanding the fundamental principles behind the models I develop, while also exploring how high-performance computing and GPU acceleration can make these models more efficient and impactful.
Beyond the technical dimension of my work, I care deeply about ethics, social justice, and environmental stewardship. I believe responsible innovation must be guided by compassion, empathy, and a commitment to collective well-being.
After completing my PhD, I hope to continue working in Europe for some time before returning to Mexico. There, I aspire to study at least two Indigenous languages, Náhuatl and Diidxazá, and eventually contribute to making advanced mathematics and modern physics more accessible through books written in these languages.