Hernan Makse

Hernan Makse is a Distinguished Professor of Physics at the City College of New York (CCNY), affiliated with the Levich Institute. His research focuses on complex networks, artificial intelligence applications in healthcare and biology, and interdisciplinary network science. He explores symmetry in biological systems, influencers in social and biological networks, and network-based approaches to epidemiology, finance, and neuroscience.

Key research interests include network dynamics, symmetry-driven network analysis, AI-driven medical diagnostics, and the intersection of network science with brain connectivity. His work bridges theoretical physics, computer science, and life sciences, with notable contributions to understanding synchronization in neural networks and the role of influencers in disease spread, politics, and ecosystems.

Recent projects analyze social media's role in political polarization, AI for breast cancer detection, and symmetry patterns in metabolic networks. His recent publications emphasize network-based solutions for real-world challenges across multiple disciplines. The Levich Institute affiliation highlights his engagement with applied physics and interdisciplinary research.

Notable collaborations involve applying network theory to healthcare, urban systems, and ecological resilience. Makse's work frequently appears in top journals and conferences, demonstrating a strong focus on translating theoretical insights into practical applications.