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.
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 |