School of Medicine

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  John P.A. Ioannidis

  C. F. Rehnborg Professor in Disease Prevention in the School, Professor of Medicine, of Health Research and Policy (Epidemiology) and by courtesy, of Statistics and of Biomedical Data Science

  Current Research and Scholarly Interests Meta-research
  Evidence-based medicine
  Clinical and molecular epidemiology
  Human genome epidemiology
  Research design
  Reporting of research
  Empirical evaluation of bias in research
  Randomized trials
  Statistical methods and modeling
  Meta-analysis and large-scale evidence
  Prognosis, predictive and personalized medicine and health
  Sociology of science

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  Nilah Monnier Ioannidis

  Postdoctoral Scholar, Biomedical Data Science-Administration

  Bio Dr. Nilah Ioannidis is a postdoc in the Department of Biomedical Data Science working on statistical and computational methods for interpreting personal genomes. She develops machine learning tools to predict the clinical significance of rare variants of unknown significance from whole genome sequencing studies, as well as statistical methods to link personal genetic variation with personal transcriptome variation. During her PhD in Biophysics at Harvard University, she worked in the Department of Biological Engineering at M.I.T. and developed methods using hidden Markov modeling and Bayesian inference to analyze the dynamics of intracellular particles. She previously served as Research Director at the Jain Foundation, focused on the rare genetic disease dysferlinopathy, and held internships at the National Academy of Sciences and the journal Science.