Bio

I am a physicist with expertise in complex systems and computational neuroscience. 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. With about 20 years experience in computational modeling, my contributions range from studying criticality in theoretical complex networks to designing generative probabilistic models that uncover meaningful 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 big 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