Publications

Recent & Upcoming Talks

Symbolic data analysis (SDA) is an emerging technique for the analysis of large and complex datasets where individual level data are …

In the current data centric world, considerable efforts are made to analyse complex and big datasets. Symbolic data analysis (SDA) …

The ever increasing speed at which technological innovations appear in our day to day life has led to a data-centric era. Huge amounts …

Symbolic data analysis (SDA) is an emerging area of statistics based on aggregating individual level data into group-based …

Environmental phenomena are spatial processes by nature as a single extreme event (heat waves, floods, storms, etc.) often has …

Symbolic data analysis (SDA) is an underdeveloped statistical method in which the individual ‘data points’ for analysis are …

The analysis of Spatial Extremes has been given a growing interest over the last decade in a broad range of areas and especially in …

Environmental phenomena are processes which are spatial by nature as a single extreme event (heat waves, floods, storms, etc.) often …

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

    • Yijia Ma [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

Involvement in the `Work experience in Data Science’ program between 2017 and 2019.

J.B Douglas Award

Excellence in postgraduate research

Grants

Research Support Scheme (RSS)

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

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

Reducing Indigenous contact with the court system

3 Months internship project - Supervised by Dr Don Weatherburn (BOCSAR)

Contact