<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Matthew Heffernan</title><link>https://mrhheffernan.github.io/</link><description>Recent content on Matthew Heffernan</description><generator>Hugo</generator><language>en-us</language><copyright>© Matthew Heffernan</copyright><lastBuildDate>Thu, 09 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://mrhheffernan.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>`init`</title><link>https://mrhheffernan.github.io/post/2026-07-09-init/</link><pubDate>Thu, 09 Jul 2026 00:00:00 +0000</pubDate><guid>https://mrhheffernan.github.io/post/2026-07-09-init/</guid><description>&lt;p&gt;Hi, I&amp;rsquo;m Matt.&lt;/p&gt;
&lt;p&gt;I&amp;rsquo;m a Data Scientist and Physicist writing about projects, tools, professional development, industry practices, and the industry at large.&lt;/p&gt;
&lt;h1 id="what-to-expect"&gt;What to expect&lt;/h1&gt;
&lt;p&gt;I&amp;rsquo;m a Data Scientist who occasionally dabbles in some light software engineering. I started off as a physicist working with computational/statistical tools for nuclear physics and have been working in tech for a few years now. What that means is that I&amp;rsquo;ve made that academia-to-industry transition and learned many lessons along the way. Some of this writing will be what my past self wished I knew.&lt;/p&gt;</description></item><item><title>About</title><link>https://mrhheffernan.github.io/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://mrhheffernan.github.io/about/</guid><description>&lt;p&gt;I am a Data Scientist at Zoox working on Perception Verification and Validation for autonomous driving.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://linkedin.com/in/mrheffernan"&gt;LinkedIn&lt;/a&gt;&lt;/p&gt;
&lt;h2 id="experience"&gt;Experience&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Data Scientist, Perception V&amp;amp;V&lt;/strong&gt; — &lt;em&gt;Zoox&lt;/em&gt; (2026–Present)&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Driving statistical approaches to perception verification and validation for autonomous driving&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;AI Verification Engineer&lt;/strong&gt; — &lt;em&gt;Zoox&lt;/em&gt; (2022–2026)&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Designed and executed statistical approaches to provably safe autonomous driving&lt;/li&gt;
&lt;li&gt;Built tools, automated processes, and data products using Python, Databricks, and PySpark to support autonomous driving evaluation&lt;/li&gt;
&lt;li&gt;Designed data-collection strategies, fleet simulations, and test asset orchestration that enabled scaling and release of the Zoox service to the public&lt;/li&gt;
&lt;li&gt;Drove continuous improvements resulting in over 99% uptime&lt;/li&gt;
&lt;li&gt;Contributed to 9 patent applications (2 granted)&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Graduate Research Assistant&lt;/strong&gt; — &lt;em&gt;McGill University&lt;/em&gt; (2016–2022)&lt;/p&gt;</description></item></channel></rss>