Jacob Gardner, Assistant Professor in Computer and Information Science, first encountered machine learning during a high school internship predicting hurricanes in his native North Carolina. Today, Gardner applies machine learning to scientific research rather than weather prediction. His goal is to develop AI tools that can enhance fields like drug discovery, similar to how the electron microscope transformed science. He aims to create tools that help scientists work faster and more effectively, offering new insights into complex problems.
At Penn Engineering, Gardner’s research focuses on using AI to optimize machine learning algorithms for scientific applications. His work has garnered significant recognition, including a CAREER Award from the National Science Foundation. Collaborating with colleagues at the Perelman School of Medicine, Gardner envisions creating a “self-driving lab” that automates the discovery of therapeutic molecules for drug-resistant bacteria and diseases like cancer. This vision involves AI generating molecular structures, robots synthesizing them, and testing them for effectiveness against diseases.
Gardner’s research group explores a wide range of applications for AI, from theoretical optimization problems to tools that could revolutionize different scientific fields. As a mentor, Gardner encourages his students to pursue projects they are passionate about, believing that excitement drives productivity. His lab’s research, which spans multiple domains, reflects the power and versatility of AI in solving real-world problems. Gardner is currently recruiting graduate students for Fall 2025 to join his lab’s cutting-edge research.