Martin Otava

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Janssen Pharmaceutical (J&J)
Principal Statistician in Quantitative Sciences
Martin Otava, is a Principal Statistician in Quantitative Sciences of Janssen Pharmaceutical Companies of Johnson & Johnson. He provides statistical support to research and development activities in pharmaceutical manufacturing, mainly for small molecules products, from early process characterization to process validation and early commercial production. Major areas of interest are statistical challenges in implementation of continuous manufacturing. From a methodology perspective, he is interested in design of experiments, Bayesian approach toward
hierarchical modelling, and inference on equivalence. Martin received a doctorate in statistics and master of science in biostatistics from Hasselt University, Belgium. He also has a master of science in mathematical statistics from Charles University, Czech Republic.

Related Articles

Article
Technical
Sampling Considerations in Continuous Manufacturing

Sampling is the selection of a representative portion of the population to make inferences about the entire population. In pharmaceutical manufacturing, samples are drawn from different stages of the process for both controlling process parameters and assessing drug product quality. In the case of a traditional batch process, a fixed amount of material is processed and the batch quality is...