About
Biostatistics: Statistics in molecular biology, biotech, and metabolism (human and yeast).
Design of experiments with protocols specifying statistical analysis plans (primary, secondary, tertiary). For designed experiments, the analysis is often design-based (using the randomization).
Model-based statistics and optimization often uses parametric probability models and their posterior distributions. Having used WinBUGS/OpenBUGS, I am curious about Julia's Turing module (for probabilistic programming).
Computational multivariate statistics, often robust or nonparametric. Molecular biologists are interested in clustering algorithms, a classical part of abductive inference (hypothesis generation).
Biostatistics: Statistics in molecular biology, biotech, and metabolism (human and yeast).
Design of experiments with protocols specifying statistical analysis plans (primary, secondary, tertiary). For designed experiments, the analysis is often design-based (using the randomization).
Model-based statistics and optimization often uses parametric probability models and their posterior distributions. Having used WinBUGS/OpenBUGS, I am curious about Julia's Turing module (for probabilistic programming).
Computational multivariate statistics, often robust or nonparametric. Molecular biologists are interested in clustering algorithms, a classical part of abductive inference (hypothesis generation).