Published numerous papers and books, including 'Algorithmics of Matching Under Preferences'; served as scientific advisor for KEPsoft Collaborative CIC; developed MATWA: Matching Algorithm Toolkit Web Application showcased at AAAI 2025; received research funding from EPSRC and other institutions, totaling over £1,000,000.
Research Experience
Head of the Formal Analysis, Theory and Algorithms (FATA) research section in the School; involved in multiple research projects, including kidney exchange, doctor allocation, etc.
Background
Professor of Algorithms and Complexity, with main research interests in the design and analysis of efficient algorithms, proving results about the extent to which a problem can be solved optimally or approximately. Particularly interested in designing algorithms for matching problems, such as allocating agents to commodities (e.g., junior doctors to hospitals, students to projects, or kidney patients to donors) in the presence of 'ordinal preferences' or 'cardinal utilities'.