基本信息
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职业迁徙
个人简介
My research focuses on developing machine learning methods that are flexible, robust, interpretable and fair. Flexible means they are capable of modeling complex real-world data, which are often heterogeneous in nature and present temporal dependencies. Secondly, I aim to improve the robustness of machine learning algorithms to outliers, missing data and mixed statistical data types. Finally, I work on making algorithms fairer and interpretable – if they are part of important decision-making processes, the outcomes should be fair and explainable.
My research can be applied in a broad range of fields, from medicine and psychiatry to social and communication systems. Recently, I also began putting a special focus on consequential decision making in several domains, including hiring processes, pre-trial bail, or loan approval.
My research can be applied in a broad range of fields, from medicine and psychiatry to social and communication systems. Recently, I also began putting a special focus on consequential decision making in several domains, including hiring processes, pre-trial bail, or loan approval.
研究兴趣
论文共 72 篇作者统计合作学者相似作者
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arxiv(2024)
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CoRR (2023)
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arxiv(2023)
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NeurIPS (2023)
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D-Core
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