Infectious Diseases, mathematical modelling
Dr Ellen Brooks Pollock is an expert mathematical modelling and epidemiology. She is based at the Bristol Veterinary School where her focus is on using infectious disease modelling, disease dynamic theory and epidemiological data to answer applied questions about the transmission and control of infectious diseases. During the COVID-19 pandemic she collaborated with other academics to investigate mapping and mitigation strategies within schools, as well as exploring quantitative predictions in response to the evolving nature of the pandemic. She has also studied the national prevalence of Hepatitis B and Zoonotic Tuberculosis. In tandem with her teaching and research commitments, Dr Brooks-Pollock is focused on developing tools for communicating about the nature of infectious diseases to non-modellers, particularly with a view to answering policy-relevant questions. She has featured on BBC News and BBC Radio 4 Today, as well as Newsnight, Countryfile and Farming Today. Dr Brooks-Pollock is also a member of the government鈥檚 SPI-M modelling group, as well as the SAGE-subgroup on children and schools,鈥痑 member of the JUNIPER (Joint UNIversities Pandemic and Epidemiological Research) consortium, and a member of the UK government鈥檚 Animal and Plant Health Agency鈥檚 National Expert Group (NEG) for outbreaks. Education 2003 - MSci Mathematics, University College London 2008 - PhD Maths/Biology, University of Warwick Affiliations SPI-M modelling group: Member, JUNIPER (Joint UNIversities Pandemic and Epidemiological Research) consortium : Member, Animal and Plant Health Agency鈥檚 National Expert Group : Member
mathematical modelling, Soft Matter, Theoretical Physics
Theoretical Physics, Mathematical Modelling, Nonequilibrium Statistical Mechanics, Soft Matter, Physics of Planktonic Microorganisms. Profile Marco G. Mazza uses theory and computer simulations to investigate soft matter systems such as active swimmers, liquid crystals, and granular matter. From bacteria to biofilms or from simple molecules to large-scale patterns, our main goal is to identify the driving mechanisms of complex matter organization.
Bioengineering, Biotechnology, Chemical Engineering, Computational Biology, mathematical modelling, metabolic engineering
Biotechnology; bioengineering; chemical engineering; metabolic engineering; systems biology; synthetic biology; computational biology; bioinformatics; cheminformatics; functional genomics; mathematical modeling; optimization; anaerobic microbiology; and environmental microbiology. Trained as a bioengineer, Dr. Islam鈥檚 research focuses on the design, re-design, and implementation of biological processes to tackle important societal challenges, including the bioproduction of 鈥榞reen鈥 petrochemicals from gases, mitigating nutrient pollution from the environment, and developing novel chemotherapies for cancer treatment. He uses both computational and experimental approaches to engineer 鈥榗ellular metabolism,鈥 namely bioprocesses, to achieve the research objectives.