Sebastian Flennerhag

Sebastian Flennerhag is a Research Scientist at DeepMind, where he specializes in machine learning, particularly focusing on deep learning and deep reinforcement learning. He holds a PhD in Machine Learning from the University of Manchester, which he completed between 2017 and 2021.25

His research interests include developing scalable algorithms for meta-learning and exploring techniques such as bootstrapped meta-learning and meta-black-box optimization.12 Flennerhag has contributed to several notable publications, including work on warped gradient descent and knowledge transfer across learning processes, which have garnered significant citations in the field.12

In addition to his research, Flennerhag is active on platforms like GitHub and Twitter, where he engages with the machine learning community and seeks to hire fellow researchers for projects related to deep reinforcement learning.34 His professional background reflects a commitment to advancing the capabilities of artificial intelligence through innovative research methodologies.