Umberto Noe
Senior Teaching Coordinator (Statistics)
- Psychology
- School of Philosophy, Psychology and Language Sciences
Contact details
- Tel: 0131 651 1990
- Email: Umberto.Noe@ed.ac.uk
Address
- Street
-
Room G15, Psychology Building
- City
- 7 George Square, Edinburgh
- Post code
- EH8 9JZ
Availability
Office hours:
- During teaching weeks: Tuesdays, 14:00-15:00
- Outside of teaching weeks: please email me to arrange
Background
Before joining the University of Edinburgh, I was a postdoctoral researcher in Statistics and Machine Learning at the German Centre for Neurodegenerative Diseases in Bonn (Germany) where I worked on causality.
Prior to that, I obtained a PhD in Statistics from the University of Glasgow, a first-class BSc (Hons) in Statistics from the University of Glasgow, and a Laurea (BSc) in Statistical Sciences from the University of Bologna (Italy) with grade 110 cum laude / 110.
Awards and honours:
- The first recipient of a Biometrika PhD Studentship by the Biometrika Trust, which funded my PhD studies at the University of Glasgow
- PSI (Statisticians in the Pharmaceutical Industry) prize 2014 for the best honours dissertation in Statistics, University of Glasgow
Undergraduate teaching
Current teaching:
- Data analysis for Psychology in R 1 (course organiser)
- Data analysis for Psychology in R 3
Courses previously taught:
- Data analysis for Psychology in R 2
Postgraduate teaching
Current teaching:
- Psychological Research Skills
- R and RStudio: a concise introduction (PhD level course)
Courses previously taught:
- Univariate Statistics and Methodology using R
- Multivariate Statistics and Methodology using R
-
Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation
(22 pages)
In:
Journal of the Royal Statistical Society: Series C (Applied Statistics), vol. 68, pp. 1555-1576
DOI: https://doi.org/10.1111/rssc.12374
Research output: Contribution to Journal › Article (Published) -
Gaussian process emulation to accelerate parameter estimation in a mechanical model of the left ventricle: A critical step towards clinical end-user relevance
In:
Journal of the Royal Society. Interface, vol. 16
DOI: https://doi.org/10.1098/rsif.2019.0114
Research output: Contribution to Journal › Article (Published) -
Inference in a partial differential equations model of pulmonary arterial and venous blood circulation using statistical emulation
(15 pages)
DOI: https://doi.org/10.1007/978-3-319-67834-4_15
Research output: Contribution to Conference › Conference contribution (E-pub ahead of print)