I am a PhD Candidate at the Max-Planck Institute for Astronomy (MPIA, Heidelberg) and Macquarie University (MQU, Australia). My current research involves the use of statistical and machine learning methods in Astronomy, primarily focussing on the Milky Way.
In October 2023 I will be joining the Astrostatistics Group at Imperial College, London as a Postdoctoral Researcher working on building a pipeline to identify high-z quasars in the Euclid Survey.
Prior to the PhD, 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.
| 2019 - Present | 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 |
| 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 |
| "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 |
| 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" |
| 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 |