<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Quantified Mind</title><link>https://manuel-delverme.github.io/</link><description>Recent content on Quantified Mind</description><generator>Hugo -- 0.147.0</generator><language>en-us</language><lastBuildDate>Sat, 10 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://manuel-delverme.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>About</title><link>https://manuel-delverme.github.io/about/</link><pubDate>Sat, 10 Jan 2026 00:00:00 +0000</pubDate><guid>https://manuel-delverme.github.io/about/</guid><description>&lt;p>PhD student under Pierre-Luc Bacon and Doina Precup. I split my time between research and building.&lt;/p>
&lt;h2 id="research">Research&lt;/h2>
&lt;p>Working on questions like:&lt;/p>
&lt;ul>
&lt;li>Do we really need silicon-based computation?&lt;/li>
&lt;li>Can we build interfaces that adapt to users rather than the other way around?&lt;/li>
&lt;li>Can we train bigger neural networks in a distributed fashion?&lt;/li>
&lt;/ul>
&lt;p>Tools like &lt;a href="https://github.com/manuel-delverme/experiment_buddy">experiment_buddy&lt;/a> aim to make AI researchers&amp;rsquo; workflows smoother.&lt;/p>
&lt;p>Book a chat: &lt;a href="https://calendly.com/manuel-delverme/15min">calendly.com/manuel-delverme/15min&lt;/a>&lt;/p>
&lt;hr>
&lt;h2 id="quantified-self">Quantified Self&lt;/h2>
&lt;p>I track everything. 26 data sources spanning 13+ years: Spotify plays, GitHub commits, browser history, location data, messages, calendar events, finance transactions, health metrics.&lt;/p></description></item><item><title>The Skip Rate Signal: How Your Spotify Habits Predict Tomorrow's Output</title><link>https://manuel-delverme.github.io/posts/skip-rate-signal/</link><pubDate>Sat, 10 Jan 2026 00:00:00 +0000</pubDate><guid>https://manuel-delverme.github.io/posts/skip-rate-signal/</guid><description>I analyzed 96,000 Spotify plays against 6,000 GitHub commits. Skip rate above 20% predicts a 55% drop in next-day output.</description></item><item><title>Divide et Impera and Neural Networks</title><link>https://manuel-delverme.github.io/posts/constrained-neural-networks/</link><pubDate>Thu, 14 Jan 2021 00:00:00 +0000</pubDate><guid>https://manuel-delverme.github.io/posts/constrained-neural-networks/</guid><description>A survey of approaches to divide the parameter estimation problem for neural networks into simpler sub-problems using constrained optimization.</description></item></channel></rss>