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Name
Monica Simeoni
Title
Fellow and Director, Clinical Pharmacology Modelling & Simulation at GSK
Bio
Monica Simeoni is a director in the Clinical Pharmacology Modeling and Simulation department and the Model-Based-Meta-Analysis lead for Respiratory and Immuno-Inflammation therapeutic areas at GSK.
After obtaining a Ph.D. in Biomedical Engineering from the Polytechnic of Milan, Italy, she has been an employee of the Department of Computer Science and Systems Engineering, University of Pavia, Italy, assigned to collaborative projects with pharma industry.
She has more than 20 years of experience in the pharmaceutical field across different therapeutic areas such as immuno-inflammation, neurosciences, oncology and glucose-insulin metabolism. Beyond model based meta-analysis, her areas of expertise include non-linear mixed-effect population modelling applied to pharmacokinetics and pharmacodynamics at clinical and preclinical level, efficacy and toxicity evaluation and target mediated drug disposition modelling. Further areas of interest are disease progression modeling, joint modelling, estimation methods, covariate analysis.
She is a member of the Scientific Organizing Committee of the PAGE conference.
She is the current pharmacometrics co-chair in the Stats and Pharmacometrics Special Interest Group (SxP SIG) sponsored by the American Statistical Association and International Society of Pharmacometrics. She has been co-chair of the MBMA Special Interest sub-Group (subSIG) and she recently joined the AI/ML subSIG.
After obtaining a Ph.D. in Biomedical Engineering from the Polytechnic of Milan, Italy, she has been an employee of the Department of Computer Science and Systems Engineering, University of Pavia, Italy, assigned to collaborative projects with pharma industry.
She has more than 20 years of experience in the pharmaceutical field across different therapeutic areas such as immuno-inflammation, neurosciences, oncology and glucose-insulin metabolism. Beyond model based meta-analysis, her areas of expertise include non-linear mixed-effect population modelling applied to pharmacokinetics and pharmacodynamics at clinical and preclinical level, efficacy and toxicity evaluation and target mediated drug disposition modelling. Further areas of interest are disease progression modeling, joint modelling, estimation methods, covariate analysis.
She is a member of the Scientific Organizing Committee of the PAGE conference.
She is the current pharmacometrics co-chair in the Stats and Pharmacometrics Special Interest Group (SxP SIG) sponsored by the American Statistical Association and International Society of Pharmacometrics. She has been co-chair of the MBMA Special Interest sub-Group (subSIG) and she recently joined the AI/ML subSIG.
