Motivation

For his contributions on the development of a deep generative neural network model generating realistic mock Euclid observations, and on the analysis of the Euclid Morphology Challenge, enabling high-quality morphology measurements for billions of galaxies and opening up new scientific opportunities with Euclid data. 

Bio

Hubert is a French postdoc currently at the Astronomy and Astrophysics Department at the University of California Santa Cruz (UCSC).

He has done my Ph.D. with Marc Huertas-Company, Alexandre Boucaud, and Hervé Dole at the  University Paris-Saclay, at the Institut d’Astrophysique Spatial (IAS), and at the Astro-Particles and Cosmology (APC) laboratory. He has done the first half in Tenerife at the Institute of Astrophysics in Canarias (IAC).

His Ph.D. was a Euclid/CNES thesis, where he focused on developing Machine Learning tools focusing on galaxy morphology. Hubert is currently working mainly for JWST, in the JADES Survey and COSMOS-Web, still with ML methods for galaxies.

Motivation

For her work on the development and application of different simulated galaxy catalogs, fine-tuned for Galaxy and AGN evolution and Local Universe working groups,  enabling the achievement of many pre-launch key projects and the derivation of forecast of spectroscopic and photometric performances for galaxy and AGN studies.

Bio

Laura is a post-doc at the University of Padova. She received her Ph.D. in 2017 at the University of Groningen, performing predictions for forthcoming infrared telescopes.

She then moved to the University of Nottingham, where she joined the Euclid collaboration in 2019, to INAF-OAS in Bologna and finally to Padova. Her research interests span from galaxy formation and evolution of active galactic nuclei (AGN) and dusty sources to the development and analysis of simulations and mock data.

In Euclid, she is part of several work packages in the Galaxy and AGN evolution science Working Group and in the Local Universe working group. In the past years, she led the pre-launch key project papers focused on passive galaxies and AGN color selections and on the derivation of galaxy physical properties using images and convolutional neural networks. She also built several Euclid galaxy mock catalogs based on observed galaxies or on the SPRITZ phenomenological simulation, all fine tuned for specific Euclid science cases.

Outside Euclid, when she has some free time she enjoys drawing, crocheting and, mainly, role playing!

Motivation

For his exceptional and invaluable contribution to weak-lensing activities as co-lead of the OU-LE3 Weak Lensing team and as manager of the PK-WL Processing Function, guaranteeing that the code is ready for real Euclid data. Also, for coordinating all other WL PFs, and developing various tools for simulating Euclid-like data.

Bio

Nicolas is a senior research fellow at University College London, working in the Science Ground Segment of ESA’s Euclid mission.  His main research interests are statistics on the sphere and their application to observational cosmology from galaxy surveys.

Nicolas is implementation co-lead for the Weak Lensing (WL) probe in OU-LE3, and leads the PK-WL processing function for measuring the photometric two-point statistics in harmonic space.  He is also very active in the development of fast simulations for testing the photometric two-point statistics of Euclid.

Motivation

For the development of the IAL Pipeline Runner, a system component responsible for managing the workflow of thousands of concurrent processing jobs, bringing this component to production readiness.  Besides his knowledge and skill, for his collegiate way of working, very responsive and friendly, always ready to help. 

Bio

Simon joined the University of Applied Sciences Northwestern Switzerland (FHNW) for his master studies. His research was focused on distributed GPU processing to solve large scale problems in real time. He currently works as a research fellow and computer science lecturer at FHNW.

He started working for Euclid 6 years ago after finishing his master’s degree in computer science. Simon has taken over the development of the IAL Pipeline Runner, a system component that is responsible for managing the workflow of all processing functions, hence is at the core of the Euclid SGS data processing system. He is also contributing in other related areas, such as in the Euclid SGS architecture group or to some PFs.

Motivation

For his relentlessly work in the ECSURV group, developing the ECTile program, solving complex optimisations on a critical aspect and practically enabling the Euclid Reference Survey, which plans activities (pointings, exposures, slews, wide, deep, calibrations etc) down to every second for the six year duration. 

Bio

João is a researcher at the Instituto de Astrofísica e Ciências do Espaço (IA) at the Faculdade de Ciências da Universidade de Lisboa (FCUL), developing computer algorithms focused on geometry.  He took a degree in engineering physics at the Universidade de Lisboa but quickly diverted to computer science, first by developing many computer vision solutions at the Instituto Nacional de Engenharia, Tecnologia e Inovação (INETI, now extinct) and later by taking a Phd in Informatics in 2013 at the Universidade Nova de Lisboa by adapting a planar algorithm for computing Voronoi diagrams on the sphere.  He is specialized in algorithms and data structures and, in particular, in computational geometry.  Not much after, he joined Euclid survey working group with the task to implement a computation tool to generate the Euclid Reference Survey from a myriad of requirements and constraints, something he has been doing to this day.

Motivation

For his major role in the design, development and testing of the on board control and data processing SW for the VIS instrument, his devotion to the experiment and mission throughout the years as On Board SW reference engineer.

Bio

Emanuele has been the team leader of the software team for the Euclid project for 7 years and the software project manager of the ICU PLATO software for two years. Currently, he is the Team Leader Software Engineer at Particle Measuring System in the R&D department. In the past, he earned a PhD in Computer Science from the University of Tor Vergata and served as a visitor researcher at the Los Alamos National Laboratory for one year.

Motivation

For the huge amount of time and effort she put into ECICC, ECICIC, and iCOM committees,  through well-planned, productive meetings with proper agendas, minutes, and resulting tasks, being the force behind the implementation of the new and more efficient internal and external communication structure.

Bio

Dida is a Staff Scientist at the Jet Propulsion Laboratory (NASA & Caltech) in Pasadena, California. She works on cosmic large scale structure as a probe of the dark universe. She has been particularly interested in how to improve our ability to address observational challenges for galaxy clustering, specifically focussing on systematic effects, and joint analysis with other probes. She also works on Euclid as the lead of the Information and Communication Management team, and it’s predecessor committees that defined the work needed to be done to improve the landscape of pages and portals we work with (ECICC and ECICIC).

Motivation

For having shaped the Euclid Consortium Editorial Board and the ECEB bureau, for the actual buildup of the tracking – database – connected ECEB site with a more and more intuitive workflow for authors, coauthors, and referees and the daily operations to evaluate, improve, and submit to journals high numbers of pre-launch manuscripts.