Yusuf Sale
Ph.D. candidate at LMU Munich. Statistician.
I am currently working on mathematical and statistical foundations of Uncertainty Quantification and Representation in Artificial Intelligence (AI) and Machine Learning (ML). My research aims at developing reliable and trustworthy AI and ML systems capable of accounting for inherent uncertainties in their predictions, thereby providing more reliable decision-making tools across a broad range of applications.
Moreover, I am interested in generalized notions of probability, which are persuasive in representing uncertainty in ML applications. Since such theories under a generalized notion of probability require proper uncertainty quantification, I am also investigating suitable measures of uncertainty from theoretical and practical perspectives.
I am a member of the Konrad Zuse School of Excellence in Reliable AI (relAI), sponsored by the Federal Ministry of Education and Research.
News
Jul 25, 2024 | We presented our spotlight poster at ICML 2024 in Vienna. It was fantastic to present our paper and connect with the machine learning community. |
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Jul 16, 2024 | We presented our poster at UAI 2024 in Barcelona. The engaging discussions were truly inspiring. |
May 15, 2022 | Excited to announce that I have joined the AI+ML chair at LMU Munich for my Ph.D. under the supervision of Eyke Hüllermeier. |