Dr Chris Bowman
Reader in Mathematics, University of York
Homepage: https://sites.google.com/site/chrisdbowman40/home
PhD: University of Cambridge, 2012
Research interests: Diagrammatic and categorical representation theory, the combinatorics of Kronecker and plethysm coefficients and Kazhdan—Lusztig polynomials.
Additional information: PI of the EPSRC “UK-European Representation there and categorification network” partnered with Jane Street, Microsoft LEAN, the Heilbronn Institute, and the British Science Foundation; PI for the Newton Institute Network “Combinatorics and Categorification”; member of the EPSRC college and EPSRC’s Early Career Forum; organiser of a 3-month trimester programme on AI in pure mathematics in Autumn 2025 and 19 other conferences/workshops/early career research schools; organiser of the RepNet Virtual Seminar 2020/21; various ECR-mentoring and EDI roles; independent research fellowships from EPSRC, the Humboldt Foundation, Marie Curie, and the Royal Commission for the Exhibition of 1851.
Personal Statement: I am strongly committed to supporting the UK mathematical sciences community across all career stages. My work has consistently involved building connections between pure mathematics, industry, and funding bodies, through major research networks, national and international collaborations, and mentoring initiatives. I believe that the Society plays a vital role in strengthening these connections, advocating for our subject, and creating opportunities for the next generation of mathematicians. I would like to contribute to this by helping strengthen the Society’s role in supporting early career researchers, encouraging broad participation, and ensuring our community remains open and inclusive.