Busayo Ajuwon

PhD Candidate

Biography

Busayo has a background in Medical Microbiology, during which time research endeavours evolved on the epidemiology of enterohaemorrhagic Escherichia coli O157:H7, a major foodborne pathogen that causes severe disease in humans. Experimental laboratory-based research into Medical Microbiology has now moved in silico, with the application of systems biology strategies — particularly machine learning (pattern recognition) algorithms, to fundamental infectious disease and population health problems, with specific interest in hepatitis B virus (HBV). His PhD research involves the elucidation of biomarker patterns in complex clinical data, to allow for early detection of hepatitis B virus (HBV) infection in vulnerable populations, without resort to second-tier testing, such as immunoassays, as well as the development of pattern recognition algorithms to monitor the persistence of this virus in patients.

Research

Research interests

  • Machine learning interrogation to clinical (pathology) data for hepatitis B virus diagnosis.