12-16 July 2021
Institute of Space Sciences
Europe/Madrid timezone
4th Institute of Space Sciences Summer School


Host Lecturers

Helena Domínguez Sánchez - Institute of Space Sciences (Spain)

Helena Domínguez Sánchez is an expert on galaxy evolution and machine learning applied to astronomical images. She did her PhD in Bologna (2009-2012) and two post-docs in Spain (Instituto de Astrofísica de Canarias, Universidad Complutense de Madrid). In 2016 she moved to Philadelphia where she had a joint position at UPenn and Observatoire de Paris. Since September 2019 she is a postdoctoral ICE Fellow. Her main research interests are the formation and evolution of early type galaxies, the morphological transformations of galaxies across cosmic times and how to analyse with automated algorithms the enormous amounts of data that Big Data surveys produce.

Alessandro Patruno - Institute of Space Sciences (Spain)

Alessandro Patruno is an expert in timing analysis and statistical methods applied to astrophysics. He has developed a strong interest in artificial intelligence in the past few years and has created software for automated analysis of astrophysical data with the aid of machine learning. He has obtained a PhD in astronomy from the University of Amsterdam in 2009 and is currently a Ramon y Cajal fellow at ICE-CSIC. His research focuses on compact objects, in particular on neutron stars and pulsars and he has written several innovative codes to perform advanced timing analysis and signal processing for high energy astrophysical sources.

Vanessa Graber - Institute of Space Sciences (Spain)

Vanessa Graber is a theoretical astrophysicist who specialises in the study of neutron stars. She completed her PhD at the University of Southampton in 2016 before joining the McGill Space Institute in Montreal as a postdoctoral research fellow. Since 2020, Vanessa has been a postdoc at the ICE in the MAGNESIA group. Her interdisciplinary research focuses on the interface between astrophysics and condensed matter physics, as applied to the neutron star interior, and the use of machine learning in population synthesis of galactic pulsars. In particular, Vanessa is currently leading the development of software pipelines for parameter estimation using deep neural networks within the MAGNESIA ERC project.


Guest Lecturers

Alison Lowndes - NVIDIA (UK)

Alison Lowndes is dedicated to providing solutions with AI & deep learning, to some of humanity's biggest problems. Working directly with entities like NASA, SETI, ESA and the United Nations, thanks to NVIDIA, she looks over the global research field, staying up to date with progress from Luminaries to Masters students and talking to everyone about how we enable AI. She is also founding team member of the NASA Frontier Development Lab, an AI R&D accelerator that tackles knowledge gaps useful to the Space program and studies on topics not only important to NASA, but also to Humanity’s future.

Marc Huertas Company - Instituto Astrofísica Canarias (Spain)

Marc Huertas-Company is an associate professor at the Paris Observatory and the University of Paris, on leave from the Instituto de Astrofísica de Canarias with a Ramon y Cajal Fellowship. He is also a member of the prestigious Institut Universitaire de France. He studies how galaxies form and evolve using artificial intelligence to link observations with current theoretical knowledge of galaxy formation. He also teaches Deep Learning techniques to grad students in astrophysics and at several international schools.


Pau Rodríguez López - Element AI (Canada)

Pau Rogríguez López is a research scientist at ElementAI Montreal. His research interests cover computer vision, unsupervised learning, meta-learning, and generalization. He did his Ph.D. at the Computer Vision Center (UAB) on deep learning for fine-grained image recognition. Previously, he obtained an MSc in Artificial Intelligence from KU Leuven (Belgium). Currently, he is working on unsupervised learning algorithms for satellite imaging with minimal human annotation. He is convinced that machine learning and space sciences have great potential of cross-fertilization.

Stefano Bocconi - Zephyros Solutions (The Netherlands)

Stefano Bocconi has worked as a researcher in computer science in the Netherlands at TU Delft, VU University Amsterdam, and Elsevier and in Italy at the University of Turin. He obtained his PhD “Automatic Generation of Video Documentaries" at CWI, Amsterdam in 2005, and has a master degree in Electrical Engineering from the University of Florence, Italy. He now collaborates as a software developer for the startup Zephyros Solutions.

Andrey Malakhov - Zephyros Solutions (The Netherlands)

Andrey Malakhov is an expert in machine learning and a software developer with a broad and diverse track-record. He has worked for several companies and institutions as a data scientist, software developer and modeller. His background is in econometrics and finance with a M.Sc. in finance obtained in 2011 from the Vrije Universiteit in Amsterdam. He has co-founded the startup Zephyros Solutions and has worked on several deep learning projects with a social impact.

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