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Chloé Azencott

cazencott@lipn.info

<p>Professor at Mines Paris &amp; Curie Institute. Machine learning for life sciences and therapeutic research. Shallow learning + fat data. <a href="https://lipn.info/tags/BiInSci" class="mention hashtag" rel="tag">#<span>BiInSci</span></a>. Cofounder of Paris WiMLDS. <a href="https://lipn.info/tags/MECFS" class="mention hashtag" rel="tag">#<span>MECFS</span></a> patient.</p>

Posts

  • Post #2765497

    Alright, here are the slides: https://cazencott.info/dotclear/public/publications/2026-05-21_azencott.pdf And a thread to outline the main ideas. The talk starts by briefly reminding what machine learning is: techniques that allow us to build models (which are functions, from a mathematical or computational points of view, that is to say, tools that apply a sequence of instructions to entries to produce an output) from data. In essence, you start from a template of what that sequence of instr...

  • Post #2765496

    The warm fuzzy feeling when a former PhD student tells you they really like how your website is full of resources and they want to build something similar 🥰 #openScience #OpenEducationalRessources

  • Post #2256652

    La comm&amp;#39; de mon employeur me propose de faire une vidéo pour répondre aux questions suivantes : - Comment mesurer et réduire l’empreinte carbone de l’IA ? - Comment l’Europe peut-elle défendre sa souveraineté numérique ? - Comment aller vers une IA responsable ? ... en trois minutes 😁 La concision est une vertu que je ne possède pas en quantité suffisante pour cette mission. (Évidemment je ne suis experte d&amp;#39;aucun de ces sujets, mais j&amp;#39;ai bien compris que si je ne m&am...

  • Post #2256651

    @ZikZak @MonniauxD Pas du tout d&amp;#39;accord pour la première question. Les impacts environnementaux dépassent largement la mesure de la consommation (de quoi ? d&amp;#39;eau, d&amp;#39;électricité, de CO2, d&amp;#39;uranium ? par quoi ? une requête, l&amp;#39;entraîne d&amp;#39;un modèle, son développement ? on compte quoi dans son développement ? et comment on fait ça pour les plus gros acteurs, qui sont des boîtes privées puissantes qui se gardent bien de révéler quoi que ce soit à ce suje...

  • Post #2256650

    Me: &amp;quot;I&amp;#39;ll be happy to give that talk, but due to my chronic condition, same as last time you invited me, it cannot be earlier than 11am.&amp;quot; Them: schedule my talk at 10am. This and variations thereof happen so often I&amp;#39;m surprised when I *don&amp;#39;t* have to go back and forth with organizers to obtain a later time slot. #disabledInAcademia

  • Post #1538817

    The claim that Anthropic&amp;#39;s Mythos is so skilled at finding and exploiting software vulnerabilities that it&amp;#39;s too dangerous to release has, unsurprisingly, nothing to do with security and everything to do with marketing. &amp;quot;The flagship demonstration document turns out to be like the ending of the Wizard of Oz, a sorry disappointment about a model weaponizing two bugs that a different model found, in software the vendor had already patched, in a test environment with the b...

  • Post #1384522

    Reading about #mansplaining, I am reminded of that one time I was introduced to a tech transfer manager as a tenured member of a machine learning team. The guy then proceeded to explain machine learning to me. This was at a lunch, and half the people at the table stopped eating with their mouth half open. And now I remember another one. I was giving an intro to machine learning to an audience of biomedical researchers. One man had the following question: &amp;quot;I am wondering why you&amp;#3...

  • Post #1027737

    Had a blast today at Irisa! Very tiring day but what a warm welcome. There were so many attendees for my talk that we had to move rooms, and I got to sign off a copy of my textbook for a grateful student 😊 Many interesting scientific discussions as well, my head is buzzing. Here are the slides of my talk on feature selection in high-dimensional genomics data: https://cazencott.info/index.php/pages/Talks

  • Post #652858

    Rappel : Selon l&amp;#39;article 30 de la Loi pour une République Numérique, lorsqu&amp;#39;un article est le fruit de travaux financés au moins pour moitié par de l&amp;#39;argent public, ses auteurs et autrices ont le droit d&amp;#39;en mettre à disposition gratuitement en ligne la version finale acceptée pour publication (= celle qu&amp;#39;on produit, pas celle mise en page par l&amp;#39;éditeur), *même après avoir accordé des droits exclusifs à un éditeur*. Seules réserves : - il faut qu...