{"id":1997,"date":"2026-02-11T18:04:52","date_gmt":"2026-02-11T18:04:52","guid":{"rendered":"https:\/\/masterib.es\/?p=1997"},"modified":"2026-02-19T08:52:32","modified_gmt":"2026-02-19T08:52:32","slug":"2026-02-27-11h-beyond-the-black-box-interpretable-ai-and-foundation-models-in-modern-healthcare-sonia-laguna","status":"publish","type":"post","link":"https:\/\/masterib.es\/en\/2026-02-27-11h-beyond-the-black-box-interpretable-ai-and-foundation-models-in-modern-healthcare-sonia-laguna\/","title":{"rendered":"2026\/02\/27 11h – Beyond the Black Box: Interpretable AI and Foundation Models in Modern Healthcare – Sonia Laguna"},"content":{"rendered":"
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Sonia Laguna<\/h3>\n

ETH AI Center – ETH Z\u00fcrich<\/h3>\n

Fecha:27-02-2026<\/strong><\/p>\n

Hora: 11.00 – 12.00\u00a0\u00a0<\/strong><\/p>\n

Lugar: Aula A.13 del edificio Ada Byron<\/strong><\/p>\n

As machine learning transitions from research labs to the clinical bedside, the \u00abBlack Box\u00bb nature of deep learning presents a significant barrier to trust and safety. This session explores the intersection of high-performance predictive modeling and clinical interpretability. We will cover how interpretability techniques enable translational applications to align model reasoning with medical expertise. Furthermore, we will discuss the modern paradigm shift from task-specific models to Foundation Models, exploring how representation learning across diverse data modalities, i.e., imaging, genomics, and electronic health records, is setting the stage for the next generation of predictive models, especially relevant in healthcare.<\/p>\n<\/div>\n<\/div><\/div>

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Abstract<\/h4>\n

The world is becoming unprecedentedly connected thanks to emerging media and cloud-based technologies. The holy grail of metaverse requires recreating a remotely shared world as a digital twin of the physical planet. In this world, the human is probably the most complex mechanical, physical, and biological system. Unlike computers, it is remarkably challenging to model and engineer how humans perceive and react in a virtual environment. By leveraging computational advancements such as machine learning and biometric sensors, this talk will share some recent research on altering and optimizing the human visual and behavioral perception toward creating the ultimate metaverse.<\/p>\n<\/div>\n<\/div><\/div>

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Bio<\/h4>\n

Qi Sun is an assistant professor at New York University, Tandon School of Engineering (joint with Dept. of Computer Science and Engineering and Center for Urban Science and Progress). Before joining NYU, he was a research scientist at Adobe Research and a research intern at NVIDIA Research. He received his Ph.D. at Stony Brook University. His research interests lie in computer graphics, VR\/AR, vision science, machine learning, and human-computer interaction. He is a recipient of the IEEE Virtual Reality Best Dissertation Award.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div>\n\n\n

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Sonia Laguna ETH AI Center – ETH Z\u00fcrich Fecha:27-02-2026 Hora: 11.00 – 12.00\u00a0\u00a0 Lugar: Aula A.13 del edificio Ada Byron As machine learning transitions from research labs to the clinical bedside, the \u00abBlack Box\u00bb nature of deep learning presents a significant barrier to trust and safety. This session explores the intersection of high-performance predictive modeling … Read more<\/a><\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[22,4],"tags":[],"class_list":["post-1997","post","type-post","status-publish","format-standard","hentry","category-curso-2025-26-primavera-bimestre-1","category-seminarios"],"_links":{"self":[{"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/posts\/1997","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/comments?post=1997"}],"version-history":[{"count":5,"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/posts\/1997\/revisions"}],"predecessor-version":[{"id":2014,"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/posts\/1997\/revisions\/2014"}],"wp:attachment":[{"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/media?parent=1997"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/categories?post=1997"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/masterib.es\/en\/wp-json\/wp\/v2\/tags?post=1997"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}