JADES data powered by Jdaviz

I am Camilla Pacifici

I am a Product Owner and a Data Scientist.
I just finished an appointment at the Space Telescope Science Institute (STScI) in Baltimore and I am about to start a new adventure as Product Owner in Trento (Italy) at Zupit!

At STScI I was a senior data scientist for astronomy and the Product Owner of a group of software engineers to develop the James Webb Space Telescope data analysis and visualization tools, Jdaviz. The team also collaborates on the development of Astropy coordinated packages (photutils, specutils, specreduce).

Research wise, I am interested in galaxy formation and evolution and especially into deriving the star formation histories of galaxies from the fossil records in the data. I am survey manager of the GARDEN and MEADOW surveys where we use the NIRSpec multi object spectrograph on JWST to look at galaxies at redshifts 1 to 6 and derive their physical and kinematic properties.

Data Analysis Tools

The JWST Data Analysis Tools

I was the Product Owner of the JWST Data Analysis Tools at the Space Telescope Science Institute. These include the development of astronomical libraries (Specutils, Photutils, Specreduce, etc.), the JWST Data Analysis and Visualization package (Jdaviz), and the development of science-case Jupyter Notebooks (hosted under the jdat_notebooks repository).

Community engagement

Because I made my career out of spectral energy distribution (SED) fitting to derive galaxy physical parameters, I was now one of the organizers of the Pan-Survey SED Fitting Forum. I gathered interest in specific topics from our committee and the community and I organized virtual sessions where 2-3 experts show thier latest results followed by a moderated discussion.

I also enjoy teaching, and last year, I obtained my certification as Carpentries Instructor. My favorite modules to teach are the basics of Python, data analysis, and git.

Videos

How open source brings us the images of the universe with JWST and Hubble
Interview for Github Universe, 2022

The art of measuring galaxy physical properties
Talk for the IAU, 2023

Imviz: Creating Color Composite Images
Jdaviz tutorial, 2024