This conference explores the latest in artificial intelligence and machine learning applied to biological discovery. Leading experts—including keynote Nobel Laureate David Baker—will address how AI/ML can decipher biological codes, uncover patterns in massive datasets, and foster the next generation of foundation models tailored to life science. The program highlights best practices for model design, validation, and interpretation, as well as pitfalls such as dataset bias and overfitting.