Bio

I am a physicist with expertise in complex systems and computational science. My work focuses on developing quantitative models and analytical tools to address real-world problems. My main expertise lies in identifying the mechanisms and underlying structure that govern systems composed of high-dimensional observations or many interacting parts, where collective dynamics and patterns emerge. To decode such systems, I tailor mathematical and computational approaches that integrate knowledge from statistical physics, network science, information theory, and probabilistic modeling with data-driven methods. My contributions range from studying complex networks to designing generative probabilistic models that uncover interpretable traits underlying psychological disorders. Across this spectrum, I work on problems that resist simple analytical approaches—from exploring the neural correlates of consciousness to building tools that enable professionals without a mathematical background to navigate the quantitative complexity of large-scale data. The challenge of bridging abstract theory and practical implementation lies in translating mathematically rigorous frameworks into operational systems capable of functioning under real-world constraints. Turning quantitative insight into knowledge that help interpret complex patterns and support decision-making is one of the central aims of my work.

Education

• 2015 Ph.D. in Physics
• 2011 M.Sc. in Applied Physics
• 2009 B.Sc. in Physics

Expertise

Trajectory