Paul Jensen

Our lab tackles the combinatorial complexity of biology. The number of genes, environments, and cells is large, but the number of interactions among these variables is astronomical. We use a hybrid approach to study intractably large problems. First, we develop screening technologies to experimentally identify as many interactions as possible. Second, we use AI and machine learning to predict the unmeasured interactions. Most recently, we have “closed the loop” and developed a completely automated lab that uses AI to design, execute, and interpret autonomous biological experiments. Our robot scientists have performed over 1.5 million autonomous experiments.