Dr Prasad Nishtala
Prasad’s research expertise is in the area of pharmacoepidemiology. This employs the methods of epidemiology to study outcomes of drug treatments in specific populations in real-world settings. His work is related to analysing big healthcare data to understand medicines safety. He is interested in using machine learning to predict adverse drug reactions. In his current research, he has used propensity score matching, marginal structural models and algorithms to understand drug-related adverse events.
University of Bath Research Portal:
https://researchportal.bath.ac.uk/en/persons/prasad-nishtala
Professor Neil McHugh
Neil heads a clinical programme of work in chronic inflammatory rheumatic disease. His group undertakes epidemiological studies utilising large health-related data bases that study disease incidence prevalence and burden, drug utilisation, safety and comparative effectiveness as well as lab-based studies of biomarkers for disease outcome.
https://researchportal.bath.ac.uk/en/persons/neil-mchugh/
Dr Anita McGrogan
Anita’s research is in disease epidemiology and medication safety and uses UK primary care data from the Clinical Practice Research Datalink. Recent work in medication safety in pregnancy includes evaluating medications used for diabetes and for epilepsy to determine current utilisation and safety in terms of maternal and foetal outcomes. Research in disease epidemiology includes evaluating risk factors for diseases and determining whether there are associations between patient comorbidities and serious outcomes. This work uses statistical modelling for the analysis of the data and models are further developed to accommodate limitations with study methods.
https://researchportal.bath.ac.uk/en/persons/anita-mcgrogan/
Professor Mark Lindsay
https://researchportal.bath.ac.uk/en/persons/mark-lindsay/
Professor Richard Guy
Richard’s research is focused on transport of chemicals (both good and bad) into and through skin. Mathematical modelling is used to derive predictive algorithms with which to estimate the kinetics of (trans)dermal diffusion, the rate and extent at which target or potentially deleterious chemical concentrations are achieved in the skin, and the efficiency of electrically-assisted, percutaneous analyte extraction (e.g., glucose) for non-invasive monitoring.
https://researchportal.bath.ac.uk/en/persons/richard-guy/
Professor Begoña Delgado-Charro
Begoña has a background in biopharmaceutics (drug delivery and pharmacokinetics). Her research has focused on transdermal and topical drug delivery by passive and iontophoretic means, on developing optimised methods to treat nail diseases such as onychomycosis and psoriasis, on non-invasive sampling for drug monitoring and pharmacokinetics, and on developing models to predict chemicals accumulation into the skin and skin absorption from dermatological products.
https://researchportal.bath.ac.uk/en/persons/begona-delgado-charro/
Dr Christopher Pudney
Chris is interested in translating fundamental science into new biotechnology solutions that are applicable in healthcare, manufacturing and drug development. Innovations in data quantitation and modelling are the key to successfully translating bench science. For example, by implementing machine learning to detect pathogens based on spectral fingerprints. Chris is developing a new technology for monitoring the use of synthetic drugs, which are typically used by the most vulnerable in society and have devastating medical consequences. The drugs are hard to detect and there is no solution for checking drug strength or telling if a patient in critical condition has taken one of these drugs. Spectroscopic tools can be applied to detect these drugs but for this to be successful in the field a quantitative solution is needed to disambiguate the data in real-time.
University of Bath Research Portal
https://researchportal.bath.ac.uk/en/persons/christopher-pudney
Dr Nick Priest
Nick’s research focuses on combining demographic studies of fruit flies with a range of mathematical approaches to understand links between nutrition, gut microbe growth, immunity and ageing. Most of the work involves understanding how ecological processes generate heterogeneity and reveal individual quality.
https://researchportal.bath.ac.uk/en/persons/nicholas-priest
Professor Jody Mason
Jody’s research focuses on how proteins interact with each other. A major aim of the group is to be able to devise rules to predict which proteins are likely to interact with each other (and how stable these interactions will be) from those which do not. He uses computational algorithms and a wealth of experimental data to assist in this goal. In particular new algorithms to increase the accuracy of predictions and enable the design of inhibitors of proteins implicated in disease need to be developed, as well as the design of protein-protein interactions to apply in synthetic biology-based approaches.
https://researchportal.bath.ac.uk/en/persons/jody-mason
