The automation of important aspects of scientific discoveryficantly accelerate the pace of science and innovation. Our claim is that given the right knowledge and methods, computers could autonomously carry out discovery processes by searching hypothesis spaces in a systematic, comprehensive, and efficient manner. In this project, we are investigating a novel approach to automate the hypothesize-test-evaluate discovery cycle with an intelligent system that a scientist can task with lines of inquiry to test hypotheses of interest. We are implementing this approach in DISK (automated DIscovery of Scientific Knowledge), a system that extends the existing WINGS intelligent workflow system for scientific data analysis, and applying it to multi-omics.