About Me


I am a Postdoctoral Researcher in the Astrostatistics Group at Imperial College, London working on building a pipeline to identify high-z quasars in the Euclid Survey.

I was a PhD Candidate at the Max-Planck Institute for Astronomy (MPIA, Heidelberg) and Macquarie University (MQU, Australia). My research involved the use of statistical and machine learning methods in Astronomy, primarily focussing on the Milky Way.

Prior to academia, I was Chief Data Scientist / Head of Research at Superestate, where we built a property valuation tool called Vali. Check it out at Vali. I have also worked as a Senior Quantitative Analyst for the property analytics and data company Hometrack. There I was responsible for designing and maintaining statistical models on the property market.

Education
2019 - 2023 Ph.D. Candidate at the Max Planck Institute for Astronomy (MPIA, Heidelberg) & Macquarie University (MQU, Sydney)
”Statistical Methods and Large Astronomical Surveys (Working title)” supervised by Dr Coryn Bailer-Jones and Assoc Prof Daniel Zucker.
2016 - 2017 Masters of Research at Macquarie University (MQU, Sydney)
Thesis:Needle in a Haystack: Advanced Statistical Techniques and Large Stellar Spectroscopic Datasets
2013 - 2015 Bachelor of Science (Astronomy & Astrophysics) at Macquarie University (MQU, Sydney)
Completed part-time whilst working as a Quantitative Analyst.
2007 - 2012 Bachelor of Arts (Mathematics)/Bachelor of Economics Honours (Econometrics) at Macquarie University (MQU, Sydney)
Thesis:Fractional Cointegration between Australia and its Neighbouring Countries: An Analysis of Stock Indices
Research & Work Experience
2023 - Present Postdoctoral Researcher
Imperial College - London, UK
Searching for high-z quasars in the Euclid survey by improving upon an existing a Bayesian pipeline.
2020 - 2022 Chief Data Scientist / Head of Research
Superestate/ Vali - Sydney, Australia
Designed and coordinated the development of an in-house property valuation tool that would be used to purchase property for the superannuation fund. This tool was released to the public as Vali, and became it's own entity.
2013 - 2020 Senior Quantitative Analyst
Hometrack (REA Group) - Sydney, Australia
I designed and implemented advanced statistical models. Developed production pipelines for Hometrack's models and maintained SQL Server Databases
2017 - Present Casual Lecturer and Tutor
Macquarie University - Sydney, Australia
Casual lecturer in Business Analytics. Tutor and marker for Astronomy, Mathematical Economics, Statistics.
2015 - 2016 Research Assistant
CSIRO - Sydney, Australia
I worked on developing a data reduction pipeline for ATCA data and I was able to observe, using both Parkes and ATCA remotely from Marsfield
Teaching
"ECON1020 - Principles of Economics I"
Taught first year undergrads the basic fundamentals of economics
"ECON131 - Introduction to Quantitative Methods"
Taught first year undergrads the mathemagical methods required for economics
"BUSA3020 - Advanced Analytics Techniques"
Taught third year undergrads statistical techniques
"BUSA2020 - Fundamentals of Business Analytics"
Taught second year undergrads the fundamentals in data analysis & visualisation
"Mathematics, Statistics & Financial Mathematics"
Privately tutored mathematics, statistics and financial mathematics
Talks & Posters
2022 European Astronomical Society Meeting, Valencia - Talk: Talk: Using Machine Learning to Identify Extremely Metal-Poor Stars with GALAH
Masters Analytics Guest Lecture, Macquarie University, Sydney
2021 First Stars Group Monthly Meeting, August - Talk: Searching for Extremely Metal-Poor Stars
Astronomical Society of Australia Annual General Meeting, online - Talk: Searching for Extremely Metal-Poor Stars with GALAH: A How to Guide
Masters Analytics Guest Lecture, Macquarie University, Sydney
2020 Masters Analytics Guest Lecture, Macquarie University, Sydney
2017 Machine Learning in Astronomy, Sydney, September - Talk: "The versatility of R, Applications of R from Astrophysics to horse racing to the property market"
Macquarie University R Users Group, Sydney, July - Talk: "The versatility of R, Applications of R from Astrophysics to horse racing to the property market"
Astronomical Society of Australia Annual General Meetings, Canberra, July - Poster & Sparkler Talk: "The GALAH Survey: An Application of Machine Learning"
Macquarie University Physics and Astronomy Computing Group, Sydney, May - Talk: "Introduction to R"
Macquarie University Research Frontiers Poster Sessions, Sydney, April & August - Talks: "An Introduction to t-SNE & The GALAH Survey: An Application of Machine Learning"
Conferences & Workshops
July 2022 European Astronomical Society Meeting - Valencia, Spain
June 2021 Statistical Challenges in Modern Astronomy VI - Online
March 2018 ESO/NEON Observing School at La Silla - ESO, Santiago, Chile
November 2017 A Celebration of CEMP and Gala of GALAH - Monash, Melbourne, Australia
July 2017 Astronomical Society of Australia Annual General Meeting- ANU, Canberra, Australia
July 2017 Astronomical Society of Australia Harley Wood Winter School- ANU, Kioloa Campus, Australia