Physicist specializing in dynamical and chaotic systems, with computational skills and experience in quantum systems research. His work explores the behavior of complex systems, from classical mechanics to quantum phenomena. He combines theoretical understanding with computational modeling to investigate how systems evolve over time, whether they're predictable or exhibit chaotic behavior.

Hugo has developed expertise in computational physics through hands-on experience with Quantum Computing simulations and Density Functional Theory calculations. He is proficient in Python for numerical analysis, data visualization, and modeling physical systems. His academic background includes special and general relativity, astrophysical objects, quantum information theory, and particle physics. Hugo has practical experience applying these concepts through projects like TALOV, where he served as an assistant programmer developing a real-time sign language translation application, and the HalDron Project, which utilized VR technology for innovative physics education. His award-winning performance at The Dorothy Coding Challenge demonstrates his programming skills and problem solving abilities.

As a graduate in Physics from Yachay Tech University, Hugo continues to pursue his passion for understanding the fundamental laws governing dynamic systems, from the deterministic chaos of classical mechanics to the probabilistic nature of quantum phenomena.