Mathematics has provided the language to describe, explain, and predict biological phenomena. Today, with the explosive growth of data and artificial intelligence, biology is witnessing a profound shift: traditional mechanistic models are being complemented by powerful learning approaches capable of uncovering hidden patterns and structures in complex datasets. This mini workshop highlights how geometry, topology, and modern algorithms can extend classical approaches. The goal is to explore how the synthesis of theory-driven and data-driven tools is shaping the next generation of biological discovery.
•Registration: Free but mandatory (see details below).
•Venue (Day 1): Class D, Institute for Research in Fundamental Sciences (IPM), No. 70, Lavasani St., Tehran, Iran (Address).
•Venue (Day 2): The virtual access link will be sent to registered participants in due time.
Farmaniyeh
School of Biological Sciences,
No. 70, Corner of Shahid Farbin Alley,
Shahid Lavasani St, Tehran - Iran