Patricio Reller Garcia
I find much value in interdisciplinary scientific teams, and I feel that the CDT aligns with these values perfectly, making it an ideal place for me to research and contribute.
![Patricio Reller Garcia Patricio Reller Garcia](/data-intensive-science-industry/sites/data_intensive_science_industry/files/research-project/patricio-reller-garcia.jpg)
5 January 2020
Project title:Ìý
Research Group: Astrophysics
Supervisor(s): Dr Ingo Waldmann,ÌýProf Giovanna Tinetti & Bruno MerÃn (ESA)
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Coming from a background in Computer Science (graduated with Distinction at the Technische Hochschule Ulm in Germany) and with experience as a software engineer in industry, I decided to join the CDT to deepen my expertise in my main academic focus: data-intensive and high-performance computing applied in a multidisciplinary research stage. Before joining the CDT, I worked both at CERN and at the European Space Agency (ESA), where I have seen the need and potential of my research interest. In the latter, I have written my degree thesis as part of the Astronomy Centre Machine Learning Group, where we explored applications of Deep Learning pipelines in Astronomy. Under the supervision of Prof. Ingo Waldmann (Ïã¸ÛÁùºÏ²Ê) and Dr. Bruno MerÃn (ESA), we plan on continuing with this exploration by working on the co-funded project "Enabling data-driven searches in ESA Astronomical images for the first time with deep learning", where we aim at creating open-source tools with special focus on supporting researchers, citizen scientists and users in exploring the contents of the ESA data archives, not based on the metadata, but based on the semantic contents of the data itself. I find much value in interdisciplinary scientific teams, and I feel that the CDT aligns with these values perfectly, making it an ideal place for me to research and contribute.Ìý
Project description:ÌýÌý
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First year group project:ÌýNCC Group
Placement:ÌýÌý
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