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Pedro Pedrosa Mendes

Pedro Mendes
Pedro Mendes P1010593 (13870695634).jpg
Born Pedro Pedrosa Mendes
Nationality Portuguese
Alma mater
Known for
Website
Scientific career
Fields
Institutions
Thesis Computer simulation of the dynamics of biochemical pathways (1994)
Doctoral advisor Douglas Kell
Doctoral students
  • Diogo Camacho
  • Stephen Checkley
  • Hui Cheng (VT)
  • Alberto de la Fuente
  • Olusegun Oshota
  • Revonda Pokryzwa
  • Wei Sha
  • Ben Small
  • Natalie Stanford
  • Simon Mitchell

Pedro Pedrosa Mendes is a Professor of Computational Systems Biology in the School of Computer Science at the University of Manchester. He is a member of the Manchester Centre for Integrative Systems Biology (MCISB), the Machine Learning and Optimization (MLO) group. He is also a Professor at the University of Connecticut Health Center.

Mendes did his undergraduate degree in Biochemistry at the University of Lisbon. He then moved to the UK and was awarded a Doctor of Philosophy from Aberystwyth University in 1994 for work on computer simulation of metabolic pathways.

Following his PhD, Mendes moved to the National Center for Genome Resources for a year then on to the Virginia Bioinformatics Institute (VBI) of Virginia Polytechnic Institute and State University (Virginia Tech or VT) in 2000. He moved to the University of Manchester as Professor in 2007, while still keeping a 20% appointment in the VBI until the end of 2013. In January 2014 he joined the Center for Quantitative Medicine at the University of Connecticut Health Center and he splits his time 50/50 with the appointment at the University of Manchester.

Mendes research is concerned with computational systems biology, which aims to better understand biological systems through the use of computer models. He is the author of the biochemical simulator GEPASI (General Pathway Simulator) and leader of the new COPASI (COmplex PAthway SImulator) simulator. He has also been actively involved in the development of the Systems Biology Markup Language (SBML), and MIRIAM (Minimum Information Required in the Annotation of Models). His research group work on problems in the following areas:


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