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Scientist profile
Daphne Wang
Bio
Affiliation
University College London (UCL)
Country of affiliation
United Kingdom
Gender Information
Woman
Academic qualification
Master’s degree
Type of research
Theoretical, Computational/Numerical,
Currently in
Academia,
Key-words for research
Quantum Natural Language Processing, Quantum Machine Learning, Contextuality, Causality, Categorical Quantum Mechanics
Professional experience
Student supervision, Teaching, Events organisations, Diversity and Inclusion work, Peer review (journals and conference proceedings),

Additional information

Co-organiser of the London Hopper Colloquium in 2021(competitive event for women in Computer Science) EDI award (joint 2nd place) in the group activity category Co-organiser of the PPLV (Programming Languages, Logic and Verification) seminar at UCL Organiser of the QNLP (Quantum Natural Language Processing) seminar series
Research highlights
The Causal Structure of Semantic Ambiguities (https://arxiv.org/abs/2206.06807); Study of causality in natural language
On the Quantum-like Contextuality of Ambiguous Phrases (https://arxiv.org/abs/2107.14589); First examples of quantum-like contextuality in natural language
Causality and Signalling of Garden-Path Sentences (upcoming); Using the mathematical framework of contextuality and causality to study human parsing strategy