Computer Vision News 28 Deep Learning for the Eyes by Christina Bornberg @datascEYEnce Hello everyone! I am Christina and I interview different researchers in the field of deep learning in ophthalmology as part of the datascEYEnce column! This time I had the pleasure to talk to Nacho, who has a very important message for the community! No matter whether you are a first year PhD student or a senior researcher - make sure to go the extra mile for creating a product out of the research. And if you currently don’t have the capacity for it, keep it at least in your mind that our work is not just about playing fancy maths with medical data, but we need to make those algorithms used by society. featuring José Ignacio “Nacho” Orlando Nacho’s research journey started with a PhD in Computational and Industrial Mathematics at UNICEN in Tandil (Argentina), with internships at Inria in France and KU Leuven in Belgium where Matthew Blaschko introduced him to machine learning for ophthalmology. His postdoc at the OPTIMA Lab (Medical University of Vienna, Austria) also influenced his current work - it was fascinating for him to see how the results of papers transitioned into tools that end up in the hands of clinicians. Fast forward, in 2019 he came back to Argentina and currently is an Associate Researcher at CONICET, he’s part of the Yatiris Lab at Pladema-UNICEN, and director of AI Labs at the US company Arionkoder. Now it’s his moment to turn research into a product by leading the retinar (short for Retina Argentina) project. And what would be a better use case for showing the world that you can make anything happen if you set your mind to it, than a project conducted in a country with limited research grants and infrastructure and asymmetries in access to public healthcare! From Research to Hospital
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