Machine Learning and Optimization Laboratory

The Automatic Learning and Optimization Laboratory (MLO) at EPFL focuses on cutting-edge research in machine learning and optimization. They have released state-of-the-art open-source software for medical applications, distributed collaborative learning, and large language models. The laboratory has a strong presence in top-tier conferences like NeurIPS, ICML, and ICLR, where they present innovative work on topics such as efficient attention mechanisms, multimodal learning, and decentralized training. MLO offers a Machine Learning course with a large number of enrolled students and actively engages in interdisciplinary project ideas. The team consists of a diverse group of researchers, postdoctoral researchers, PhD students, and research software engineers, with several alumni now holding prestigious positions in academia and industry.