Miguel García Folgado

Miguel García Folgado is a Momentum Postdoctoral Researcher at the Institute of Corpuscular Physics (IFIC) under CSIC, with a PhD in Astroparticle Physics from the University of Valencia. He holds dual expertise in theoretical physics research and high-performance computing (HPC) systems administration. His academic journey includes a BSc and MSc in Physics from the University of Valencia, followed by a PhD exploring dark matter models and deep learning applications (2016-2021). He has held postdoctoral positions at the Polytechnic University of Valencia and IFIC, focusing on AI-driven climate change solutions and particle physics phenomenology.

Research interests span dark matter phenomenology, deep learning applications in physics and environmental science, and HPC infrastructure optimization. His work integrates theoretical physics with computational tools like TensorFlow/PyTorch and C++ for high-performance simulations. He has developed predictive models for urban traffic, wildfire emissions, and political sentiment analysis using NLP techniques.

Miguel is actively involved in maintaining the GLUON HPC cluster at IFIC, managing distributed storage systems (e.g., MinIO), and automating workflows via Ansible. He has authored multiple peer-reviewed articles in journals like JCAP and JHEP, and his doctoral work earned the Extraordinary Doctorate Award. His technical skills include system administration (Linux/RedHat), database management (MySQL/PostgreSQL), and static website development using Hugo.