Julián García Pardiñas

I’m an AI/ML Research Scientist with a PhD in Physics, currently at MIT and based in Switzerland. Over the past decade, I’ve tackled high-impact challenges at CERN and other major research institutions, blending large-scale data analysis with advanced machine learning techniques—such as Reinforcement Learning and Graph Neural Networks—to drive innovation in complex domains.

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My background spans both hands-on software engineering and large-scale data analysis: from developing HPC-based pipelines and real-time ML solutions to applying advanced statistical modeling in high-stakes scientific collaborations. I’ve led international teams, secured competitive grants, and published extensively, always aiming for tangible results in complex environments.

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Beyond the technical, I care deeply about how people learn and how AI can complement human cognition. I enjoy mentoring diverse teams, building collaborative cultures, and exploring fresh ways to push technology forward. Curiosity, resilience, and continual learning guide my approach—whether I’m forging new AI solutions at scale, coordinating cross-functional projects, or engaging in thought-provoking conversations that spark new ideas.

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If you’d like to explore advanced ML research, real-world applications, or new opportunities in the field, feel free to connect.