Furui Cheng

Furui Cheng is a Research Fellow at ETH Zürich's Department of Computer Science, affiliated with the IVIA Lab under Prof. Menna El-Assady. His research focuses on Human-Centered AI, combining data visualization with explainable machine learning to enhance decision-making. He holds a PhD from the Hong Kong University of Science and Technology (2022), advised by Prof. Huamin Qu.

Education: PhD in Computer Science (HKUST, 2022); Previous academic background includes studies emphasizing visualization and machine learning integration.

Research interests span LLM transparency, interactive ML frameworks, and healthcare AI applications. Notable projects include Polyphony (single-cell data analysis), VBridge (healthcare model explanations), and DECE (counterfactual exploration systems). His work has received awards such as the Best Paper Honorable Mention (VIS'21) and Best Abstract Award (BioVis@ISMB).

Key contributions include advancing model interpretability through visual analytics, with applications in clinical decision-making and genomics. Ongoing efforts focus on aligning AI systems with user knowledge and ensuring trustworthy decision processes.