Alhussein Fawzi is a staff research scientist at Google DeepMind. He obtained his PhD from the signal processing laboratory in EPFL in 2016, and M.Sc. in Electrical Engineering from EPFL in 2012. Fawzi was awarded the IBM PhD Fellowship awards for the academic years 2013-2014 and 2015-2016.
His research interests lie in AI for Science, in particular on using Machine Learning to unlock new results in Mathematics. He is also broadly interested in the reliability of Machine Learning systems, and in particular in computer vision.
Fawzi is the lead author of the AlphaTensor paper published in Nature: “Discovering faster matrix multiplication algorithms with reinforcement learning”.