IASDS Faculty Member Tarikul Islam Presents Research at Cambridge University Workshop
The Isaac Newton Institute for Mathematical Sciences (INI), University of Cambridge, hosted an international workshop titled “Causality and Machine Learning” (CIFW04) from 15–19 June 2026. The workshop formed part of INI’s broader research programme on causal inference, bringing together leading researchers from around the world to discuss recent advances at the intersection of machine learning and semiparametric and nonparametric methods for causal inference, including double/debiased machine learning, targeted maximum likelihood estimation, and the theoretical foundations of modern causal estimators.
We are pleased to share that Mr. Tarikul Islam, Lecturer at the Institute of Applied Statistics and Data Science (IASDS), University of Dhaka, participated in this prestigious workshop. Mr. Islam presented a research poster titled “A Unified Three-Stage Weighting Framework for Causal Inference and Mediation Analysis under Case–Control Sampling” [Paper Link: https://arxiv.org/pdf/2606.26543], co-authored with Professor Mahbub A.H.M. Latif of the IASDS, University of Dhaka. The work proposes a novel three-stage weighting framework that enables valid causal and mediation analysis from case–control studies even when the population outcome prevalence is unknown.
Mr. Islam’s participation was supported by a travel, accommodation, and visa grant awarded by the Isaac Newton Institute, University of Cambridge, reflecting international recognition of the quality and relevance of his research. His presentation drew engagement from workshop participants and contributed to ongoing discussions on statistical methodology for causal inference under complex sampling designs.
The Institute of Applied Statistics and Data Science warmly congratulates Tarikul on this achievement and looks forward to his continued contributions to advancing statistical research and strengthening the University of Dhaka’s international academic collaborations.