CIMPA School on

The main theme of this CIMPA School is Topological Data Analysis (TDA), an emerging field that uses tools from Algebraic Topology to understand the ‘shape’ of data. This school will provide participants with both foundational and advanced topics in TDA, along with an introduction to its integration with Machine learning techniques. Applications of TDA span life sciences, material sciences, network analysis, and image classification, providing a bridge between theory and real-world problems. 

The school is designed to support participants from diverse backgrounds through a structured sequence of introductory and advanced courses. Core topics include an introduction to TDA and Machine learning, followed by advanced themes such as Morse theory, Topological deep learning, and Algebraic persistence etc. The school will combine lectures with hands-on lab sessions enabling participants to apply concepts in practice. We will also conduct an online course in week 0 (week before CIMPA starts). This course will review basic Algebraic Topology enough for TDA introduction to follow in the next week. 

This research school is supported by generous funding from  CIMPA , IMU-CDC, Higher Education Commission (HEC), and the Lahore University of Management Sciences.