Adam is a passionate Machine Learner interested in unsupervised learning and time-series modelling supervised by Ingmar Posner and Yee Whye Teh. He currently investigates the use of attention mechanisms, external memory and variational inference with neural networks for perception.

Adam graduated with an MSc from the Technical University of Munich and has a wealth of practical experience gathered at IBM, Samsung and Bloomberg, where he worked on machine learning problems. In his free time, Adam trains gymnastics and sings in a choir.

Read Adam’s blog and github.