Barbara Engelhardt, a computer scientist at Princeton University, explains why traditional machine-learning techniques have often fallen short for genomic analysis, and how researchers are overcoming that challenge.
Rosaly Lopes explains why it’s worth exploring the huge variety of volcanoes on other worlds.
Scientists have discovered a mysterious pattern that somehow connects a bus system in Mexico and chicken eyes to quantum physics and number theory.
Akshay Venkatesh on his mathematical working style, which took him many years to discover.
Constantinos Daskalakis on why he studies the interface between theoretical computer science and human behavior.
Birkar discusses the need for originality in mathematics and in life.
Figalli explains how physical intuition can play a key role — but not the only role — in mathematical thinking.
Cohl Furey explains what octonions are and what they might have to do with particle physics.
Jessica Whited is a biologist who studies limb regeneration at Harvard Medical School and Brigham and Women’s Hospital. Here, she explains how genomic information for the salamander called an axolotl will help us understand the potential for regrowing limbs in humans and other animals.
Carina Curto, a mathematician at Pennsylvania State University, explains how her background in theoretical physics helps her tackle daunting problems in theoretical neuroscience.