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Jeremias Knoblauch is an Associate Professor in the Department of Statistical Science at University College London, where he previously held the position of Lecturer, equivalent to an Assistant Professor in the American academic system. His research focuses on optimisation-centric generalisations of Bayesian inference and includes collaborative efforts with industry partners. Knoblauch has been involved in projects related to data-centric engineering at the Alan Turing Institute and has served as a scientific advisor for various start-ups. He completed his PhD through a joint Oxford-Warwick Statistics program. His academic journey included a prestigious fellowship with Facebook and research roles at Amazon and DeepMind. Knoblauch is passionate about maintaining strong ties with the industry, seeking to engage with potential partners for both academic and non-academic initiatives. In addition to his teaching commitments, he actively supervises research degrees and participates in consultancy and grant application assessments.
University College London • London, United Kingdom
Teaching and administrative duties within UCL’s Department of Statistical Science.
University College London • London, United Kingdom
Equivalent to Assistant Professor role in the American system.
University College London • London, United Kingdom
Conducted research and contributed to statistical science.