Anais Möller
supernovae | time-domain astronomy | cosmology | machine learning

I am driven to understand the nature of Dark Energy and the physics of transients in the Universe. To do so, I work with extremely large astronomical datasets. To maximize the information we can use to understand our Universe, I develop innovative tools with a large emphasis on machine learning.
Research interests:
- I am co-leading Fink broker which will process, enrich and filter transient data from the largest optical survey in the world at the Vera C. Rubin Observatory.
- I obtain constraints on the nature of Dark Energy with Type Ia Supernovae at the Dark Energy Survey.
- I study multi-wavelength and messenger fast-transients with the world’s largest transient collaboration the Deeper Wider Faster program.
- I am an Associate Investigator at the ARC Centre of Excellence for Gravitational Wave Discovery where I work on the optical and multi-wavelength follow-up of gravitational waves events.
- I develop high-end machine learning algorithms for astronomy and cosmology such as the photometric classification framework SuperNNova.
I am currently a Postdoctoral Research Fellow at Swinburne University Centre for Astrophysics and Supercomputing in Australia. I previously worked for CNRS at Laboratoire de Physique de Clermont (LPC), and at the Australian National University as an ARC CoE CAASTRO Postdoctoral Fellow in Dark Energy.
I was born in Venezuela and did my undergrad at Universidad SimĂłn BolĂvar. I then moved to France and did the NPAC master and a PhD at Irfu Cea Saclay and UniversitĂ© Paris Diderot. I enjoy communicating science and was selected to be a CAASTRO Astronomer in Residence at Uluru, Australia. I speak spanish, english, french and german. I also ejoy hiking, rock climbing, diving, sailing and playing cello.
news
Sep 1, 2021 | New job alert ! I have joined the Swinburne University Centre for Astrophysics and Supercomputing as Postdoctoral Research Fellow. |
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Aug 13, 2021 | Fink has been selected to process the Vera C. Rubin Observatory LSST alert stream for its 10-years of operation. Fink will enable transient science in this big data era, including SNe Ia cosmology and beyond! |