Publications

(2021). Logistic regression models for aggregated data. In Journal of Computational and Graphical Statistics.

Preprint Code DOI

(2020). Likelihood-based inference for modelling packet transit from thinned flow summaries. Submitted.

Preprint DOI

(2020). Composite likelihood methods for histogram-valued random variables. In Statistics and Computing.

Preprint DOI

(2020). High-dimensional inference using the extremal skew-t process. In Extremes.

Preprint DOI

(2020). Estimation and uncertainty quantification for extreme quantile regions. In Extremes.

Preprint Code DOI

(2020). Constructing likelihood functions for interval-valued random variables. In Scandinavian Journal of Statistics.

Preprint DOI

(2019). New models for symbolic data analysis. Submitted.

Preprint Code DOI

(2019). Extremal properties of the multivariate extended skew-normal distribution, Part B. In Statistics and Probability Letters.

Preprint DOI

(2019). Extremal properties of the univariate extended skew-normal distribution, Part A. In Statistics and Probability Letters.

Preprint DOI

(2019). Tail density estimation for exploratory data analysis using kernel methods. In Journal of Nonparametric Statistics.

Preprint DOI

(2017). Models for Extremal Dependence Derived from Skew-symmetric Families. In Scandinavian Journal of Statistics.

Preprint DOI

(2015). Extreme Dependence Models. In Extreme Value Modelling and Risk Analysis: Methods and Applications. Eds. D. Dey and J. Yan. Chapman & Hall/CRC Press.

Preprint PDF

Recent & Upcoming Talks

Two common issues that arise when performing a statistical analysis are the complexity and the volume of the data at hand. Indeed, due …
Apr 19, 2021 7:00 AM United States of America
PDF

Droughts, high temperatures and strong winds are key causes of the recent bushfires that have touched a major part of the Australian …
Feb 16, 2021 1:00 PM Saudi Arabia
PDF

Droughts, high temperatures and strong winds are key causes of the recent bushfires that have touched a major part of the Australian …
Oct 15, 2020 11:00 AM Lisbon, Portugal
PDF Video

Symbolic data analysis (SDA) is an emerging technique for the analysis of large and complex datasets where individual level data are …
Aug 14, 2020 1:00 PM Sydney, Australia
PDF Video

In the current data centric world, considerable efforts are made to analyse complex and big datasets. Symbolic data analysis (SDA) …
Mar 6, 2020 2:00 PM Institut Henri Poincare, Paris, France
PDF

The ever increasing speed at which technological innovations appear in our day to day life has led to a data-centric era. Huge amounts …
Oct 22, 2019 2:00 PM Sydney, Australia
PDF

Symbolic data analysis (SDA) is an emerging area of statistics based on aggregating individual level data into group-based …
Feb 28, 2019 2:00 PM Canberra, Australia
PDF

Environmental phenomena are spatial processes by nature as a single extreme event (heat waves, floods, storms, etc.) often has …
Dec 14, 2018 5:15 PM Pisa, Italy
PDF

Symbolic data analysis (SDA) is an underdeveloped statistical method in which the individual ‘data points’ for analysis are …
Oct 4, 2017 2:00 PM Melbourne, Australia
PDF

The analysis of Spatial Extremes has been given a growing interest over the last decade in a broad range of areas and especially in …
Jun 26, 2017 2:00 PM Delft, Netherlands
PDF

Environmental phenomena are processes which are spatial by nature as a single extreme event (heat waves, floods, storms, etc.) often …
Dec 10, 2016 5:25 PM Sevilla, Spain
PDF

Teaching

Taught courses:

Tutorials:

Experience

 
 
 
 
 

Lecturer

UNSW Sydney

January 2020 – Present Sydney, Australia
 
 
 
 
 

Research Associate

UNSW Sydney

February 2016 – December 2019 Sydney, Australia
 
 
 
 
 

PhD Student

University Pierre and Marie Curie, Paris 6 UNSW Sydney

February 2012 – January 2016 Paris / Sydney
PhD (cotuelle) supervised by Prof. Michel Broniatowski and Prof Scott Sisson. Co-supervised by Dr. Simone Padoan

Supervision

PhD students:

  • Current

    • Prosha Rahman [UNSW], Jun 2019. Jointly supervised with Scott Sisson.

  • Completed

    • Thomas Whitaker [UNSW], Feb 2016 - March 2020. Jointly supervised with Scott Sisson.

Master/Honours students:

  • Current

    • Yujia He [Masters, UNSW], 2020.

  • Past

    • Max Fisher [Honours, UNSW], 2019. Jointly supervised with Scott Sisson.
    • Lewis Wright [Honours, UNSW], 2019. Jointly supervised with Scott Sisson.
    • Bowen Wang [Master, UNSW], 2019. Jointly supervised with Scott Sisson.
    • Yangfan (Fiona) Xu [Master, UNSW], On the extremes of extended skew-normal random variables, Semester 2, 2017. Jointly supervised with Scott Sisson.

Awards

Outreach Participation Award

ARC Centre of Excellence for Mathematical and Statistical Frontiers Nov 2019
Involvement in the `Work experience in Data Science’ program between 2017 and 2019.

J.B Douglas Award

Statistical Society of Australia, New South Wales Branch Nov 2014
Excellence in postgraduate research

Grants

Research Support Scheme (RSS)

ARC Centre of Excellence for Mathematical and Statistical Frontiers Feb 2018
Received $7,600 to setup a collaboration with Alec Stephenson (CSIRO, Data61)

Industry Projects

SIGMA Project: Modelling of the reliability of cast iron gas pipes in Paris region

GDF-Suez Research and Innovation Apr 2011
6 Months internship project - Supervised by Frederic Cossalter-Rufie (GDF-Suez) and Prof. Michel Broniatowski (UPMC).

Reducing Indigenous contact with the court system

Bureau of Crime Statistics and Rsearch, NSW Department of Justice May 2010
3 Months internship project - Supervised by Dr Don Weatherburn (BOCSAR)

Contact