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 InterestsMeta-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, personalized, precision medicine and health
Sociology of science -
Nilah Monnier Ioannidis
Postdoctoral Scholar, Biomedical Data Science
BioDr. 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.
