Excited states of quantum systems are relevant for photochemistry, quantum dots, semiconductors and more, but remain extremely challenging to calculate by conventional computational methods. In recent years tools from machine learning have found useful application in computational quantum mechanics, especially in making ground state…

Abstract: For the past decade, my group has worked on supervised and unsupervised algorithms that take video data of behaving animals as inputs and discover stereotyped dynamics in the motion of body parts. We have used these techniques to study the patterns of behavior over an animal’s lifespan, how the brain specifies which…