WMLSAR-2026

The Department of Applied Sciences, Indian Institute of Information Technology Allahabad (IIIT-A) is going to organise a workshop on Machine Learning in Survival Analysis with Hands-on R during July 06-11, 2026. This workshop integrates classical survival analysis with modern machine learning techniques for time-to-event data. Topics include regularized Cox models, survival trees, random survival forests, gradient boosting. Applications span healthcare, reliability engineering, finance, and social sciences. In the workshop, the participants will get enough exposure to build survival prediction models using ML methods, handle high-dimensional and non-linear survival data.

Topics to be covered in this workshop

* Module 1: Foundations of Survival Analysis
* Module 2: Limitations of Classical Survival Models
* Module 3: Regularized Survival Models
* Module 4: Survival Trees and Ensembles
* Module 5: Boosting Methods for Survival Data

Who should apply?

* Undergraduate and Postgraduate students in Statistics, Data Science, Mathematics, Biostatistics, Computer Science or who have basic knowledge of Probability and Statistics.
* Research Scholars working in Statistics, Computer Science, Mathematics, Biostatistics, Medical Sciences, Information Technology and related areas.
* Faculties and Industry Personnel: Statisticians, Biostatisticians, Clinical researchers and Medical data analysts.