Scientific advances over the last several centuries have not only expanded our understanding of the world, but have also raised the standard of living for many people across the globe. However, there are still massive challenges facing humanity, as evidenced by climate change and the COVID-19 pandemic. One of the difficulties of modern science is to make sense of the vast amount of information we’ve gathered about the world - from the Large Hadron Collider to massive genome projects—it’s impossible for any individual person to comprehend it all.

In this talk, I will discuss how AI (and techniques like Machine Learning) can contribute to progress on challenging and important problems in a wide range of scientific disciplines - from genomics and structural biology to quantum chemistry and even pure mathematics.