Researcher

Dr Clara Grazian

My Expertise

  • Bayesian statistics
  • Statistics for genomics
  • Effect of air pollution on environment and human health
  • Effect of human activities on animal behaviours

Keywords

Field of Research (FoR)

Biography

Clara Grazian received a joint PhD in 2016 from Université Paris-Dauphine under the supervision of Prof. Christian Robert and from Sapienza Università di Roma under the supervision of Prof. Brunero Liseo.

Her research interests include: Bayesian statistics, mixture models, spatio-temporal modelling and copula models and variable selection, with applications in climatology, epidemiology, psychology and genetics.

Before joining UNSW, she was...view more

Clara Grazian received a joint PhD in 2016 from Université Paris-Dauphine under the supervision of Prof. Christian Robert and from Sapienza Università di Roma under the supervision of Prof. Brunero Liseo.

Her research interests include: Bayesian statistics, mixture models, spatio-temporal modelling and copula models and variable selection, with applications in climatology, epidemiology, psychology and genetics.

Before joining UNSW, she was Postdoctoral Fellow at the University of Oxford, working on understanding genomic mechanisms conferring resistance to tuberculosis and at the Università degli Studi "Gabriele d'Annunzio" working on understanding the effect of pollution on human health.
 


My Grants

July 2020 - June 2021: Defence Science Partnering Deed - Schedule Research Agreement (Defence Science & Technology Group - DSTG)

Research Project: "Knowledge Sythesis for Autonomous Analyst" (160,000$)

 


My Qualifications

PhD in Mathematical Statistics (2016) - Université Paris-Dauphine and Sapienza Università di Roma

Master 2 in Mathematical Statistics (2011) - Université Paris-Dauphine

Master in Statistical Sciences (2012) - Sapienza Università di Roma

Bachelor in Statistical Sciences (2012) - Università degli Studi di Torino


My Awards

Here are the received grants since 2015

2018 - Research Project of National Interest (Italian Ministry of Research and Education) - "Environmental processes and human activities: capturing their interactions via statistical methods", (principal investigator: Daniela Cocchi)

2017 - International Exchanges Scheme, The Royal Society - "High-dimensional Bayesian dependence modelling with conditional copulas" (with Luciana Dalla Valle, Julian Stander and Brunero Liseo)

2016 - Research Project of National Interest (Italian Ministry of Research and Education) - "Likelihood-free methods for inference" (principal investigator: Brunero Liseo)

2015 - International Exchanges Scheme, The Royal Society - "Empirical and Bootstrap Likelihood procedures for Approximate Bayesian Inference" (Fabrizio Leisen and Brunero Liseo)

 

 


My Research Activities

Dr Grazian is interested in Bayesian analysis for complex systems, in particular for clustering and dependence modelling. Her research is focused on developing consistent techniques for Bayesian clustering in several situations (independent data, temporal data, spatial data) and evaluating dependence functionals in a semi-parametric setting. She works in several applied settings, in particular in genomics, finance and environmental sciences:

  • clustering approaches to identify several levels of resistance in M. Tuberculosis
  • spatial clustering for environmental variables
  • temporal clustering to model animal behaviour
  • functionals of dependence for log-returns 
  • conditional functionals of dependence for building materials

My Research Supervision


Areas of supervision

  • Mixture models
  • Copula models
  • Bayesian spatial modelling
  • Clustering
  • Spatio-temporal modelling
  • Applications in genomics, cyber-security, ecology, finance

Currently supervising

  • Yiwei Wang (Master)
  • Taiming Xu (Master)
  • Gan Xu (Master)
  • Tong Wang (Master)
  • Louis Ye (Honours)
  • Vasiliki Vamvaka (Master)

My Teaching

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