Senior Data Scientist Pranita Patil discusses her research in causal deep learning and its applications in accurately learning and inferring dynamic causal interactions between genes in complex systems. She also introduces a novel technique to integrate Granger causality in deep learning and developed decorrelated deep learning methods to mitigate bias and reduce redundancy in gene expression data.