Prof. Enda Cummins



Principal Investigator - DICE


Prof. Enda Cummins is a Professor in the University College Dublin School of Biosystems and Food Engineering. He is a visiting Professor from KU Leuven in Belgium. He is the Programme Director for the MSc of Engineering Science in Food Engineering. His main research area is risk assessment and predictive modelling, with a particular focus on implications for human health and environmental contamination. He has developed his research area to encompass exposure and risk/benefit assessment from chemicals (including acrylamide, beta-glucans, phytochemicals, antimicrobial residues and nanoparticles) and microbials/protozoa (including E. coli, Salmonella, Listeria, Cryptosporidium, antimicrobial resistant organisms) in different media. He has developed a significant and innovative research portfolio in predictive modelling and risk assessment funded by external peer-reviewed grant agencies. He is currently UCD School of Biosystems and Food Engineering Head of Teaching and Learning. He has published over 100 peer reviewed journal papers and 123 conference papers. He currently has a strong multidisciplinary research team focusing on predictive modelling and risk assessment. He led an EU ERASMUS programme (Life Long Learning programme) on Predictive Modelling and Risk Assessment and is Scientist in Charge for two Marie Sklodowska-Curie awards. He is also the coordinator of the H2020 Marie Curie ITN project “Predictive modelling tools to evaluate the effects of climate change on food safety.


Areas of Expertise:

Risk assessment modelling, Food safety, Systems modelling, environmental contamination and human exposure risks; Prevention, control, treatment, management and risk analysis of Prion diseases; Enhancing human health through improved water quality; Dispersion and human risks from nanoparticles; Use of recovered food nutrients from food by-products to boost soil organic matter; Vulnerability of food and feed chains to dangerous agents and substances; Risk analysis based control of salmonella in pork; Risk assessment of acrylamide in potatoes; Risk assessment of E. coli O157:H7 in beef; Towards developing a microbial risk assessment model for Cryptosporidiosis; Plume dispersion modelling