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SSA NSW: Early Career and Student Statisticians Career Event 2023

  • 28 Sep 2023
  • 6:00 PM - 8:00 PM (AEST)
  • The Bevery, the University of Sydney
  • 45


  • Note: If you are a full-time student, you can sign up for a one-year SSA student membership for the same price and attend this event for free. See
  • FREE

Registration is closed

The New South Wales branch of the Statistical Society of Australia warmly invites all undergraduate, postgraduate and early career statisticians and data scientists to attend our annual event for Early Career and Student Statisticians on Thursday 28th September 2023 at 6pm. The event will take place at The Bevery, the University of Sydney (entrance is through the Courtyard Cafe or the Holme Building, there will be guides on the day).

This event is partially sponsored by the Susquehanna International Group. 

This year we have the pleasure of hosting a handful of inspiring early-career speakers and mid-career speakers, working in various industries. The speakers have been invited to share what they’ve learned, what they’ve achieved, what they’ve enjoyed and what surprised them, as well as, perhaps, what they don’t like, what they haven’t learned, and so on. We also have a number of senior industry speakers who have been invited to provide their sage advice, insights and general guidance to those interested in developing a fruitful career in the industry.

We will have 6 speakers in total and each speaker will give a 5-minute talk, followed by a networking session. Catering and drinks will be provided at the event. There will be plenty of opportunities for attendees to approach the speakers and each other freely.

This is a free event for SSA members and we charge $20 for non-members at this event to cover operational costs. Reminder: non-member students can register for a one-year student membership for $20 with SSA NSW here and attend the event for free. 

Meet our speakers

Dr Kerry Roberts

Kerry Roberts is a Senior Manager of Analytics & Insights at AMP Bank. She has over 5 years of banking experience across data science, product management and credit risk analytics and modelling. Kerry holds a Doctor of Philosophy in Applied Mathematics and a Bachelor of Science from the University of Sydney. Kerry is passionate about using data to solve complex problems and create value for customers and business stakeholders.

Olga Yevtushenko

I graduated from the Warsaw School of Economics(Poland) with a Bachelor's degree in Quantitive Methods in Economics and Information Systems. My thesis was about Recommendation Systems as a mechanism to increase profit in the e-commerce industry. I started my career in Data Science 2 years ago with an internship at ING Bank Risk Hub, where I worked on multiple data science model validation projects. After that, I've spent a year in a fast-paced developing start-up where I was developing geospatial analytics application, creating data analysis and ML predictive models that were helping the largest Polish companies with opening new stores and branches. Now, I am working as an Associate Data Scientist at SEEK in the Recommendation System team. My current projects are related to ads performance management, and I also had an opportunity to be a part of a Databricks LLM Cup winning team.

Dr William Tong

William Tong is a data scientist with over 7 years’ experience building machine learning solutions spanning various industries. Following the completion of his PhD in applied mathematics, William began his data science journey as a postdoctoral researcher in health analytics, which paved the way into industry where he worked for a small SaaS company focusing on building anomaly detection models to detect fraud in private health insurance claims data. William then moved to REA Group, where he built various regression models to predict property prices utilised by the website. William continued to diversify his data science knowledge by moving to Amazon Web Services (AWS), where he built forecasting models to predict network utilisation across the AWS cloud network. Today, William is a data science manager at Canva leading the infra analytics team in developing reliability metrics and infrastructure cost optimisation projects. 

Dr Chen Chen


Chen Chen serves as the Principal Statistician at the NSW Education Standards Authority. In his current role, Chen applies advanced statistical modelling techniques to analyse educational measurement data for HSC. His journey into statistics began during his time as a postdoctoral fellow at UNSW, where he focused on epidemiological modelling for a variety of vaccination programs. Chen was a recipient of the University of Adelaide Research Scholarship for international students, which provided vital support for the completion of his PhD in Applied Mathematics. In addition to his postgraduate achievements, he holds undergraduate degrees in Mechanical Engineering and Pure Mathematics.

Dr Marcel Keller

Marcel Keller is a senior research scientist with CSIRO's Data61, a business unit of Australia's national science agency. After studying mathematics in his native Switzerland and briefly working there as a software engineer, he moved to Denmark for his PhD in cryptography and then to England for his post-doc. There he started working on an implementation of a cryptographic scheme called multi-party computation that would eventually become MP-SPDZ, an open-source project used by researchers all over the world.

Jordan Hedi

Jordan Hedi holds a Bachelor of Commerce from Macquarie University and is working to complete his Masters of Biostatistics at the University of Sydney. He originally started his career within the Finance sector but quickly realised that the world of Public Health was what interested him. At the start of the pandemic, he joined the New South Wales Ministry of Health as part of the Biostatistics Training Program. Currently, he works at the Ministry as a Senior Biostatistician with HealthStats NSW.

For any questions or concerns please contact

Please note that all our events are governed by the Code of Conduct. This means that we absolutely do not tolerate unacceptable behaviour, including any form of harassment. This applies to both members and non-members. If you have any concerns, please contact Gordana (

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