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Richard Mott studied Mathematics as an undergraduate at the University of Cambridge and subsequently earned an MSc in Biometry from the University of Reading. He completed his PhD in 1989, focused on Statistics and DNA Sequence Homologies. Following his doctorate, Mott engaged in post-doctoral research at the National Institute for Medical Research in protein sequence alignment. In 1991, he transitioned to working on physical genome mapping at the Imperial Cancer Research Fund, where he developed software for constructing physical maps and contributed to building a human physical map used in identifying the gene responsible for Huntington's disease. In 1995, he joined the Sanger Centre to work on DNA sequence assembly bioinformatics, playing a vital role in the Human Genome Project. Mott has contributed significantly to the computational analysis of biological data and has developed software for various genetic analyses and mapping. He became a member of the CONVERGE consortium to identify genetic loci associated with major depression. In 2015, he took on the role of Weldon Professor of Computational Genetics at University College London where he continues his research in statistical genetics and complex traits using rodent models and collaborated efforts in genomics and bioinformatics.
University College London, UCL Genetics Institute • London, United Kingdom
Leading research in computational genetics and statistical genetics.
University of Oxford, Wellcome Trust Centre Human Genetics • Oxford, United Kingdom
Conducted advanced research in human genetics.
Imperial Cancer Research Fund • London, United Kingdom
Managed the genome analysis laboratory focusing on genetic research.
National Institute of Medical Research • London, United Kingdom
Engaged in mathematical biology and contributed to research in genetic mapping.
SmithKline Beecham Pharmaceuticals • Harlow, United Kingdom
Conducted bioinformatics research in the pharmaceutical industry.