*I am passionate about learning by counterexample - i.e learning when methods/theorems/rules don't work. This way of thinking sharpens our understanding of the critical assumptions and conditions necessary to make them work (indeed this is a great way to come up with mathematical proofs).
*Where possible I find it very instructive to highlight connections between different areas of mathematics and statistics since this exercise typically uncovers fundamental ideas core to the idea at hand
* For statistics small computer simulations are invaluable to understand and motivate many of the concepts. Randomness and how sample size/information permits structue to be observed through the noise is fundamental.
* Prepare and motivate students not just for exams, but also careers - i.e. many areas of statistics in industry require good computer simulations skills. I do this in "R", a free open-source software package that the pharmaceutical industry and academia both use extensively.
*Personal apporach - listening to the student and trying different approaches to try to uncover the road block in the path of understanding - one size rarely fits all!
* Teaching life sciences students statistics at University College London during my PhD: introductory level statistics but at an informal and intuitive level
* Teaching/mentoring pharmaceutical statisticians in statistical methodology: the content was advanced in theoretical terms but the focus was on application, typically computer simulations.
* Associate Director Biostatistics (Real-world evidence), US Pharmaceutical company, August 2020 - present
* Statistical Methodology Expert, Centre for Excellence and Statistical Innovation (CESI), UCB, Slough, 2017-2020
*Senior Exploratory Statistician, Global Exploratory Development, UCB, Slough, 2016-2017
*Principal Statistician, Clinical Statistics, R&D, Quantitative Sciences, GlaxoSmithKline, Middlesex, 2014-2016
*SAS Programmer, Quanticate, Oxford, 2009-2010
*Statistician, Unit of Health Care Epidemiology, University of Oxford, 2004-2008
* Modelling Analyst, AC Nielsen, Oxford, 2003-2004
*PhD Statistics, University College London, 2010-2014
*MSc Statistics [Distinction], University College London, 2008-2009
*Postgraduate Certificate Applied Statistics [Distinction], Sheffield Hallam University, 2007-2008
Mathematics qualifications (distance learning whilst in full-time employment):
*Module M208, Pure Mathematics [Distinction], Open University, 2009-2010
*A-level mathematics [A], AQA exam board, 2004-2007
*A-level further mathematics [A], AQA exam board, 2007-2008
* MRes Exercise Physiology, University Gloucestershire, 2001-2003
* BSc Sports and Exercise Science and Business Management [2:1], Cheltenham and Gloucester College of Higher Education, 1997-2000
Perfect! I really enjoyed working with Daniel for the past few weeks. Together, we covered various interesting and challenging exercises in Stats. Daniel was always here to help, really involved and ready to answer any question. Daniel seems really passionate about Stats. I recommend!
Very clever and bright student. Mathematically strong. Interested in solving problems. Fun to work with.
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