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.