Cyrus Mehta

Adjunct Professor of Biostatistics

Department of Biostatistics

675 Massachusetts Avenue
Cambridge, MA 02139
Phone: 617.661.2011


Cytel Profile   |   Curriculum Vitae   |   PubMed Publications   |   LinkedIn

Cyrus Mehta is President and co-founder of Cytel Corporation and Adjunct Professor of Biostatistics, Harvard T.H. Chan School of Public Health. Cytel is a leading provider of software, clinical services and strategic consulting on the design, interim monitoring and implementation of adaptive clinical trials, with offices in the United States, Europe and India. Dr. Mehta holds S.M and Ph.D degrees from the Massachusetts Institute of Technology and a B.Tech degree from the Indian Institute of Technology at Bombay.

His areas of expertise include:

  • Adaptive clinical trial design and implementation
  • Exact inference for ordered and unordered categorical data

Dr. Mehta provides guidance and training to biopharmaceutical companies, academic research centers and FDA statisticians. He has published more than 110 research articles in scientific journals including JASA, Biometrics, Biometrika, Statistics in Medicine and New England Journal of Medicine.

Research and Development

Adaptive Clinical Trials

Dr. Mehta’s recent research has focused on developing statistical methods and software for the design and monitoring of group-sequential and adaptive clinical trials. He has published important papers on sample size re-estimation, promising zone designs and population enrichment. His research has been implemented in the East software developed by Cytel Corporation. East is an industry-wide standard software package that is routinely used at most major pharmaceutical and biotechnology companies and at regulatory agencies in the United States, Europe and Japan for designing, monitoring and reviewing group sequential and adaptive clinical trials.

Exact Inference

Dr. Mehta was a chief contributor to the development of permutational algorithms and their applications to categorical data analysis, nonparametric tests, power and sample size calculations, contingency tables analysis and, more generally to exact inference on the parameters of regression models for categorical data. These ground-breaking algorithms led to the development of the StatXact and LogXact statistical packages that provide accurate p-values, confidence intervals and sample-size designs for small, sparse and unbalanced data.

Awards & Recognitions

  • Fellow of the American Statistical Association (Elected)
  • Member of the International Statistical Institute (Elected)
  • Distinguished Alumni Award from Indian Institute of Technology, Bombay (2016)
  • Lifetime Achievement Award from the International Indian Statistical Association (2015)
  • Zoroastrian Entrepreneur of the Year (2002)
  • Mostellar Statistician of the Year (Massachusetts Chapter of the American Statistical Association (2000)
  • George W. Snedecor Award from the American Statistical Association for best paper in biometry (1987)