<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Authors | Bill Katz</title><link>https://www.billkatz.com/authors/</link><atom:link href="https://www.billkatz.com/authors/index.xml" rel="self" type="application/rss+xml"/><description>Authors</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><image><url>https://www.billkatz.com/img/icon-192.png</url><title>Authors</title><link>https://www.billkatz.com/authors/</link></image><item><title/><link>https://www.billkatz.com/authors/admin/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.billkatz.com/authors/admin/</guid><description>&lt;p&gt;&lt;strong&gt;I like working at the intersection of computer science and biomedical research.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;I&amp;rsquo;m a research scientist on the FlyEM Team at the &lt;a href=&#34;https://janelia.org&#34; target=&#34;_blank&#34;&gt;Howard Hughes Medical Institute&amp;rsquo;s Janelia Research Campus&lt;/a&gt;. We use cutting-edge electron microscopy to image fruit fly brains at nanometer resolution. After extracting likely neurons from the 25+ Teravoxel image volumes (through our collaboration with Google Research), our team of bio experts proofread the results. The result is a connectome, a map of the neural circuits. Our work has been profiled in the &lt;a href=&#34;https://www.nytimes.com/2021/10/26/science/drosophila-fly-brain-connectome.html&#34; target=&#34;_blank&#34;&gt;NY Times&lt;/a&gt;, the &lt;a href=&#34;https://www.simonsfoundation.org/2021/02/25/the-connected-connectome/&#34; target=&#34;_blank&#34;&gt;Simons Foundation&lt;/a&gt;, and other media.&lt;/p&gt;
&lt;p&gt;I&amp;rsquo;ve been designing the &lt;a href=&#34;http://dvid.io&#34; target=&#34;_blank&#34;&gt;data systems&lt;/a&gt; that allow us to flexibly capture versions of our proofreading and all the data we generate while reconstructing the connectome. Here&amp;rsquo;s a post that gives an overview of &lt;a href=&#34;https://www.janelia.org/project-team/flyem/blog/data-management-in-connectomics&#34; target=&#34;_blank&#34;&gt;our data management strategy&lt;/a&gt;. We&amp;rsquo;ve opened a few of our datasets to the public on our &lt;a href=&#34;https://clio.janelia.org&#34; target=&#34;_blank&#34;&gt;Clio platform&lt;/a&gt;, which is backed by a serverless data service built on Google Cloud Run with some proxying to Janelia-based DVID servers.&lt;/p&gt;
&lt;p&gt;I have three research goals in the near future:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Allow &amp;ldquo;chained&amp;rdquo; datastores where local changes are applied on top of large-scale (terabytes to petabyte) published data, and allowing git-like pull requests from other researchers.&lt;/li&gt;
&lt;li&gt;Develop interesting ways to visualize the richness of our nanometer-resolution, segmented image volumes.&lt;/li&gt;
&lt;li&gt;Investigate ways to use deep learning for compressed representation and accelerated proofreading of our data.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;I&amp;rsquo;m an organizer of the Janelia Scientific Visualization Interest Group. Feel free to watch our invited talks
at &lt;a href=&#34;https://www.youtube.com/playlist?list=PLfBkfxqisR_dU9RyIeX0I1WbQee86ZTss&#34; target=&#34;_blank&#34;&gt;YouTube&lt;/a&gt;.&lt;/p&gt;</description></item></channel></rss>