Prof. Dr. Stephen James Forsythe is a visiting Professor at the University of Hong Kong and a curator of the open access database PubMLST Cronobacter. He is a former Professor of Microbiology at Nottingham Trent University (retired March 2017). He earned his PhD from The University of Newcastle, studying gut microflora. He also worked as a Post-doctoral Research Fellow at the Birmingham University, studying the intestinal bacterial induction of cancer. He is a member of the American Society for Microbiology, the International Association for Food Protection, the Microbiology Society, and the Society for Applied Microbiology. He has conducted research into many aspects of food microbiology, including rapid detection methods, Salmonella isolation, and HACCP implementation. His current research interest is primarily in the bacterium Cronobacter spp. (former Enterobacter sakazakii), and his papers range from primarily isolation, using chromogenic agar, characterisation, and virulence, to genotyping, MLST, and SNP analysis.
Prof. Dr. Stephen James Forsythe is a visiting Professor at the University of Hong Kong and a curator of the open access database PubMLST Cronobacter. He is a former Professor of Microbiology at Nottingham Trent University (retired March 2017). He earned his PhD from The University of Newcastle, studying gut microflora. He also worked as a Post-doctoral Research Fellow at the Birmingham University, studying the intestinal bacterial induction of cancer. He is a member of the American Society for Microbiology, the International Association for Food Protection, the Microbiology Society, and the Society for Applied Microbiology. He has conducted research into many aspects of food microbiology, including rapid detection methods, Salmonella isolation, and HACCP implementation. His current research interest is primarily in the bacterium Cronobacter spp. (former Enterobacter sakazakii), and his papers range from primarily isolation, using chromogenic agar, characterisation, and virulence, to genotyping, MLST, and SNP analysis.