Janni Yuval is a postdoctoral fellow at MIT in the Department of Earth, Atmospheric and Planetary Sciences. He has a BSc. in theoretical physics, an MSc in theoretical soft matter physics, and a PhD in atmospheric dynamics. After finishing his PhD he worked as an algorithm developer at Mobileye and as a data scientist at Clalit Research Institute, where he used machine learning and causal inference methods to develop personalized medicine algorithms. Nowadays, he is excited about combining climate models with machine learning in order to reduce the uncertainty in climate projections.