marcusrb.github.io/index.xml at main · marcusRB/marcusrb.github.io · GitHub

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      <title>Integrating Multiomics Data with Deep Learning for Disease Risk Prediction</title>
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      <title>Migrating ML Workloads from EC2 to Scalable Amazon EKS</title>
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      <description>Data visualization training path covering dashboard design, Power BI, Tableau, Looker Studio, and analytical storytelling for decision-making.</description>
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      <title>GA4 and GTM Development</title>
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      <description>GA4 and Google Tag Manager implementation, auditing, event design, measurement planning, and tracking governance for modern websites and products.</description>
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      <description>Training path covering Google Marketing Platform, GA4, Google Tag Manager, Google Ads, measurement planning, and digital analytics implementation.</description>
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      <title>Machine Learning and AI Consulting</title>
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      <description>R and R Studio learning path covering statistical analysis, reproducible workflows, packages, data exploration, and analytical programming.</description>
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      <title>Introduction to Graph Attention Networks in Biology</title>
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      <pubDate>Wed, 26 Feb 2025 00:00:00 +0000</pubDate>
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      <description>A practical introduction to Graph Attention Networks for biological data, with a focus on graph construction ideas relevant to spatial transcriptomics.</description>
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      <title>Infrastructure as Code for Data Engineers: Terraform Basics</title>
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      <title>Why Docker Fails in HPC and How Singularity Fixes It</title>
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      <title>Introduction to Experiment Tracking without the Overhead</title>
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      <title>Local to Multi-Node: Packaging ML Code with Docker</title>
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      <title>Processing Single-Cell RNA-Seq Data at Scale</title>
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      <title>Machine Learning Engineering Bootcamp</title>
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      <description>Intensive 16-week bootcamp covering supervised/unsupervised learning, deep learning, MLOps, and cloud deployment.</description>
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      <title>HerHeart — cardiovascular risk AI for women</title>
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      <pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate>
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      <description>B2B CDSS platform for cardiovascular risk stratification in women, targeting hospital procurement.</description>
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      <title>About Me</title>
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      <description>&lt;h1 id=&#34;marco-russo&#34;&gt;Marco Russo&lt;/h1&gt;
&lt;h2 id=&#34;bioinformatics-mlops--applied-ai-consultant&#34;&gt;Bioinformatics, MLOps &amp;amp; Applied AI Consultant&lt;/h2&gt;
&lt;p&gt;I work at the intersection of &lt;strong&gt;bioinformatics, machine learning, MLOps, and applied analytics&lt;/strong&gt;. Over the last decade, I have helped companies, academic environments, and product teams turn complex data problems into usable systems, reproducible workflows, and better technical decisions.&lt;/p&gt;
&lt;p&gt;My current work is especially focused on &lt;strong&gt;health data science, clinical and biological datasets, reproducible research pipelines, and production-grade ML infrastructure&lt;/strong&gt;. Alongside delivery work, I also teach data mining and applied analytics, which keeps my approach practical, structured, and communication-oriented.&lt;/p&gt;</description>
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      <description>Get in touch with Marco Russo.</description>
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