Jessica Enright

Dr. Jessica Enright is a Reader in Computing Science at the University of Glasgow. Her research focuses on network analysis, epidemiological modeling, and graph theory, with applications to disease spread dynamics, livestock movement networks, and computational epidemiology. She has collaborated on projects such as the MELD-B initiative to study multimorbidity prevention and contributed to studies on SARS-CoV-2 transmission in university settings. Her work bridges theoretical computer science and applied public health, addressing challenges like optimizing network interventions and modeling disease resistance in aquaculture.

Her research includes developing algorithms for temporal graphs, analyzing livestock movement networks in East Africa, and modeling treatment policies for sea lice resistance. She has supervised students including Ethan Hunter (game-theoretic contagion models) and Laura Larios-Jones (temporal graph algorithms). Her publications span journals like Algorithmica, PLOS ONE, and Journal of Theoretical Biology, reflecting her interdisciplinary approach to computational and biological challenges.

Enright has contributed to pandemic response efforts, including modeling UK cardiovascular waiting lists post-COVID-19 and coordinating mathematical modeling initiatives. Her work emphasizes practical applications of theoretical computer science to public health, environmental, and agricultural systems.