Decrypting Complexity in Biological and Active Matter

How do robust and adaptable macroscopic behaviors emerge from microscopic interactions in biological and active systems? This conference gathers international experimentalists and theoreticians to address this key challenge in 21st-century quantitative science. Themed sessions inspire innovative theoretical and computational approaches for interpreting biological systems, using the latest experimental advancements. Leading experts from fields such as soft matter physics, quantitative biology, and artificial intelligence converge to explore this inherently interdisciplinary frontier of knowledge. Convened by

• George Shubeita, Associate Professor of Physics; Global Network Associate Professor of Physics, NYUAD
• Azam Gholami, Associate Professor of Physics, NYUAD
• Arjun Narayanan, Assistant Professor of Physics, NYUAD
• Aleksander Rebane, Assistant Professor of Chemistry and Physics, NYUAD