Sergio García Heredia

I am a PhD student at LION and aQa (Leiden University). I am trained as a theoretical physicist and data scientist, and I have also worked in the private sector as a generative and agentic AI engineer. My current research focuses on understanding the origin of discrepancies between the theoretical capacity of artificial neural networks to represent quantum states (Neural Quantum States) in Quantum Many-Body Physics and their effective, practical performance. I am strongly convinced that the relationship between Physics and Machine Learning forms a virtuous cycle: learning algorithms can expand our ability to study complex phenomena, while physical principles can guide the development of better learning methods. For this reason, I maintain a broad interest in areas such as Physics-Informed Machine Learning, Geometric Deep Learning, and Scientific Machine Learning more generally.