Umberto Noe (PhD, FHEA)

Lecturer and PPLS Coordinator of Adjustments

  • Psychology
  • School of Philosophy, Psychology and Language Sciences

Contact details

Address

Street

Room G15, Psychology Building

City
7 George Square, Edinburgh
Post code
EH8 9JZ

Availability

  • Office hours are by appointment. Please book at https://edin.ac/3RKFQeI or email if none of the available options work for you.

Background

I am a Lecturer in the Department of Psychology, where I teach on a range of statistics courses for undergraduate and postgraduate students. I am also responsible for the PhD students who tutor on the quantitative courses in our department by providing day-to-day line management and coordination of their work.

I am actively involved in student support by being the Cohort Lead for 1st year Psychology students and, from July 2024, I am taking on the role of Coordinator of Adjustments in the School of Philosophy, Psychology, and Language Sciences.

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

Currently teaching:

  • Data analysis for Psychology in R 1 (course organiser) - Topics covered: exploratory data analysis, fundamentals of inference, and hypothesis testing
  • Data analysis for Psychology in R 3 - Topics covered: mixed models, path analysis, path mediation, principal components analysis, and factor analysis

Courses previously taught:

  • Data analysis for Psychology in R 2 - Topics covered: linear regression, ANOVA, power analysis, and generalised linear models

Postgraduate teaching

Currently teaching:

  • Psychological Research Skills

Courses previously taught:

  • Univariate Statistics and Methodology using R - Topics covered: exploratory data analysis, inference, and regression
  • Multivariate Statistics and Methodology using R - Topics covered: mixed models, factor analysis, and structural equation models