About me

I am currently a PhD student at the Institute of Astronomy, University of Cambridge, UK. Within the last year, I have also completed work as a graduate research student at the Australian National University, and at the Gemini South Observatory in La Serena, Chile. I have two undergraduate degrees in a Bachelor of Engineering (Electrical & Aerospace) and a Bachelor of Science (Physics) at the University of Queensland, Brisbane, Australia.

My research areas have included supernova cosmology, machine learning and neural networks, and emission line profiling of star-forming regions. My main interests, however, lie in understanding more about the dark components in our universe.

Through my experience as a radio frequency engineer, my involvement with the Australian Dark Energy Survey, my range of astronomy research projects, and my university tutoring, I have developed a wide range of skills. Some of these skills include ‘big data’ analysis, Bayesian statistics, software engineering, electronics design, and deep learning. Check out my GitHub, Projects list and CV to find out more about what I’m doing!

Recent and Upcoming Events


October 9:

LASAIR ZTF Broker meeting at the Royal Observatory Edinburgh, Scotland.

October 11:

Public talk for Clareity at the MCR, Clare College, University of Cambridge. Talk title: “What is “Dark Energy, and how can exploding stars and machine learning help us find out if Einstein was right?”



September 19 – 30:

Research visit to the Space Telescope Science Institute (STScI), Baltimore, USA.

September 16 – 19:

Presented cadence metric based on early transient classification at the LSST (Large Synoptic Survey Telescope) Cadence Hackathon at the Flatiron Institute in New York City, USA.

September 13 – 14:

Attended 4MOST-UK (4-metre Multi-Object Spectrograph Telescope) meeting at the University of Sussex, UK. Presenting transient classification software to the TiDES collaboration (Time Domain Extragalactic Survey).

August 6 – 10:

Attended “Astro Hack Week: Data Science for Next-Generation Astronomy” at the Lorentz Centre, Leiden, Netherlands.

July 9 – 13:

Attended a workshop on “Transients in New Surveys: the Undiscovered Country ” at the Lorentz Centre, Leiden, Netherlands.

June 19 – 21:

Presented a talk at a workshop titled: “Planning for Surprises – Data Driven Discovery in the age of Large Data” at Oxford University, UK.

May 23 – 24:

Helped write National Science Foundation (NSF) whitepaper proposal at the Cyberinfrastructure for Multi-Messenger Astrophysics Workshop at the University of Maryland, USA.

May 9 – 26:

Research visit to the Space Telescope Science Institute (STScI), Baltimore, USA.

May 18:

Presented lunch talk at STScI Transient meeting, Baltimore, USA.

May 7-8, 2018:

Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC) Workshop at the Simons Foundation Center for Computational Astrophysics, New York City, USA.

October 1, 2017:

I began my PhD at the University of Cambridge, UK.

August 9, 2017:

I attended and helped present the CAASTRO poster at the Australian Parliament House as part of the celebration of the ARC Centre of Excellence for All-Sky Astrophysics.

July 31, 2017:

presented an update on OzDES and my development of a new spectral classification tool using Deep Learning at the ARC Centre for All-sky Astrophysics (CAASTRO) local area meeting.

July 9 – 14, 2017:

presented my results and upcoming paper on a spectral classification tool for the Australian Dark Energy Survey at the Astronomical Society of Australia’s Annual Scientific Meeting in Canberra.

July 6 – 8, 2017:

I attended the Harley Wood Winter School at the Kioloa Coastal Campus, ANU.

June 11 – 16, 2017:

I attended the Dark Energy Survey Collaboration Meeting at the Kavli Institute of Cosmological Physics at the University of Chicago, USA. I presented my results on a new spectral classification software and my re-analysis of the SNIa cosmological sample.

April 13, 2017:

I presented work on the use of deep neural networks for supernova classification to the online “Machine Learning in Astronomy” meetings hosted by CSIRO.

March 27 – 31, 2017:

I worked with the Skymapper and Zooniverse team at the Siding Spring Observatory to search for Planet 9 in the worldwide citizen science project. I helped develop the pipeline to process the several million citizen classifications during the BBC’s Stargazing Live television series.

March 1, 2017:

I began work at the Research School of Astronomy and Astrophysics, Mt Stromlo Observatory, Australian National University.

February 14, 2017:

I presented my work on modelling emission line spectra with multiple Gaussian components at the Gemini South Observatory in La Serena.

February 8, 2017:

I presented a tutorial on DASH for classifying supernova spectra to the OzDES collaboration.

January 22 – 26, 2017:

I attended the SOCHIAS annual conference in Marbella, Santiago, Chile. I co-presented work on “Violent star formation in galaxy interactions” with Dr. Veronica Firpo.

January 27, 2017:

I gave a presentation on the use of Deep Learning for supernova and spectral classification to the Astronomy and Astroinformatics departments at the University of Chile, Santiago.

December 15, 2016:

I graduated with Honours Class I in a Bachelor of Engineering (Electrical & Aerospace) and a Bachelor of Science (Physics) from the University of Queensland, Brisbane, Australia.

December 5, 2016:

I began work at the Gemini South Observatory in La Serena, Chile as part of the AAO’s (Australian Astronomical Observatory) Australian Government Undergraduate Summer Studentship (AGUSS).