# Dr Nema Dean

**Reader**(Statistics)

**telephone**:
01413306820

**email**:
Nema.Dean@glasgow.ac.uk

R341, Mathematics & Statistics Building, University Place, Glasgow G12 8QW

## Biography

I received my M.A. in Mathematics from Trinity College Dublin in 2002 and my Ph.D. in Statistics from the University of Washington, Seattle in 2006. I joined the University of Glasgow in 2006.

I am predominantly an applied statistician with an interest in methodological development driven by interesting practical problems. Areas I have worked on in the past/currently include:

- Educational testing
- Food authenticity
- Forensic statistics
- Chemometrics
- Medical applications
- Urban studies
- Many others...

My areas of interest methodologically are wide-ranging including: cluster analysis - particularly model-based and hierarchical, semi-supervised learning, variable selection, disease mapping, hierarchical Bayesian models, Bayesian approximation methods, boundary detection, areal modelling, spatio-temporal modelling and others. Both likelihood and Bayesian estimation are welcome (I'm a pragmatist).

## Research interests

- Unsupervised learning/Clustering
- Model-based clustering
- Hierarchical clustering
- Growth mixture models

- Variable selection
- Spatial areal boundary detection
- Spatio-temporal modelling
- Disease Mapping
- Mixtures/Hierarchical mixtures of experts
- Item response theory models
- Bayesian approximate estimators
- Social network analysis

### Research groups

## Grants

Understanding Inequalities (ESRC) Life at the Frontier: The Impact of Social Frontiers on the Social Mobility and Integration of Migrants (Nordforsk)

## Supervision

I am currently interested in supervising students in the area of multivariate analysis and spatial/spatio-temporal modelling.

Current PhD students:

- Kirstie English
- Riham Hamza M Ismail
- Robin Muegge
- Jorge Alfredo Sanchez Gomez

**Muegge**, Robin

Spatiotemporal areal data modelling: COVID-19 applications and boundary detection for big data**Sanchez Gomez**, Jorge Alfredo

Extending mixtures of contaminated normal models

Former PhD students:

- Craig Anderson
- Cunyi Wang
- Eilidh Jack
- Simona Simona
- Sebastián Martínez
- Ivona Voroneckaja
- Shuhrah Alghamdi

## Teaching

Current courses:

- Data Mining & Machine Learning I (ODL)
- Measurement & Scaling (Q-step) - not in 2022/23

## Professional activities & recognition

### Prizes, awards & distinctions

- 2011: Statistics in Chemistry Award (American Statistical Association)

### Professional & learned societies

- 2011 - 2018: Treasurer, International Federation of Classification Societies
- 2020: Board Member, British Classification Society