Xander Steenbrugge

Head of Applied ML Research, ML6

Xander is a computer-science engineer from Belgium, Europe, fascinated by Machine Learning and Artificial Intelligence. He’s also a YouTube vlogger at ‘Arxiv Insights’ and teaches a Reinforcement Learning MOOC that will be freely available on the edX platform starting from September.
Having worked as a Machine Learning engineer for almost 5 years, Xander has a wide expertise in domains such as computer vision (object tracking, optical character recognition, image classification, ..) , natural language processing (chatbots, text classification, etc.) and many others using open source libraries like TensorFlow and PyTorch in combination with powerful compute resources on the Google cloud platform.
Recently, Xander started focusing on the interface between academic research and the real world through a Ph.D. in Deep Reinforcement Learning focused on applying these novel algorithms to industrial process optimization. Xander’s latest side-project involves applying Generative Adversarial Networks (GANs) to new types of content creation for digital artists.
Xander is currently head of applied ML-research at Belgian AI scale-up ML6.