Dr Miguel Juarez
|
|
Teaching:
| MAS360 | Practical and Applied Statistics | Information | |
| MAS369 | Machine Learning | Information | |
| MAS469 | Machine Learning | Information | |
| MAS6041 | Dissertation | Information | |
| MAS61007 | Machine learning | Information |
Research:
| Interests: | Bayesian hierarchical models, panel and longitudinal data, SR imagining, augmented clinical trials |
| Research groups: | Statistics, Mathematical Biology |
Grants
| Current grants, as Principal Investigator | |
| In Silico Trial for Tuberculosis Vaccine Development | EC |
Biography:
Miguel obtained a PhD in Mathematical Sciences (Statistics) from Universidad de Valencia, Spain in 2004 with a dissertation in Objective Bayesian methods for point estimation and hypothesis testing.
From 2005-2008 he was a research fellow in the Statistics department at University of Warwick dealing with models for panel data that incorporate skewness and heavy tails.
In 2008 he moved to the Warwick Systems Biology Centre as a research fellow in Bayesian analysis of biological data, with a special emphasis in developing models for gene regulatory networks.
In 2010 he joined the School of Mathematics and Statistics as a lecturer in Statistics.
From 2005-2008 he was a research fellow in the Statistics department at University of Warwick dealing with models for panel data that incorporate skewness and heavy tails.
In 2008 he moved to the Warwick Systems Biology Centre as a research fellow in Bayesian analysis of biological data, with a special emphasis in developing models for gene regulatory networks.
In 2010 he joined the School of Mathematics and Statistics as a lecturer in Statistics.
Research interests:
Bayesian statistics. Hierarchical modelling for panel and longitudinal data. Image analysis for super-resolution microscopy. In silico augmented clinical trials