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 <title>James Verbus</title>
 <link href="https://jverbus.github.io/atom.xml" rel="self"/>
 <link href="https://jverbus.github.io/"/>
 <updated>2026-09-07T13:20:28+00:00</updated>
 <id>https://jverbus.github.io/</id>
 <author>
   <name>James Verbus</name>
   <email>james.verbus@gmail.com</email>
 </author>

 
 
 
 
 <entry>
   <title>Extended Isolation Forest for Distributed Spark/Scala Anomaly Detection</title>
   <link href="https://jverbus.github.io/2026/03/18/announcing-extended-isolation-forest-support/"/>
   <updated>2026-09-06T00:00:00+00:00</updated>
   <id>https://jverbus.github.io/2026/03/18/announcing-extended-isolation-forest-support/</id>
   <summary type="text">Adding Extended Isolation Forest to the Spark/Scala library and comparing it with the reference implementation.</summary>
 </entry>
 
 
 
 
 <entry>
   <title>Reinforcement Learning for Orbital Transfers at the 2026 AI Winter School (Brown University)</title>
   <link href="https://jverbus.github.io/2026/01/09/brown-physics-ai-winter-school-workshop/"/>
   <updated>2026-09-06T00:00:00+00:00</updated>
   <id>https://jverbus.github.io/2026/01/09/brown-physics-ai-winter-school-workshop/</id>
   <summary type="text">Training PPO policies for orbital transfers and comparing their trajectories and delta-v with a Hohmann baseline.</summary>
 </entry>
 
 
 
 
 <entry>
   <title>Exploring LLMs and RAG at the 2025 AI Winter School (Brown University)</title>
   <link href="https://jverbus.github.io/2025/02/10/brown-physics-ai-winter-school-workshop/"/>
   <updated>2026-09-06T00:00:00+00:00</updated>
   <id>https://jverbus.github.io/2025/02/10/brown-physics-ai-winter-school-workshop/</id>
   <summary type="text">A workshop on querying physics papers with LLMs and checking the answers against retrieved source passages.</summary>
 </entry>
 
 
 
 
 <entry>
   <title>Announcing ONNX Support in Isolation Forest</title>
   <link href="https://jverbus.github.io/2024/09/23/announcing-onnx-support-in-isolation-forest/"/>
   <updated>2026-09-06T00:00:00+00:00</updated>
   <id>https://jverbus.github.io/2024/09/23/announcing-onnx-support-in-isolation-forest/</id>
   <summary type="text">Exporting standard Isolation Forest models trained in Spark for inference with a compatible ONNX runtime.</summary>
 </entry>
 
 
 
 
 <entry>
   <title>Finding AI-Generated Faces in the Wild</title>
   <link href="https://jverbus.github.io/2024/08/15/finding-ai-generated-faces-in-the-wild/"/>
   <updated>2026-09-06T00:00:00+00:00</updated>
   <id>https://jverbus.github.io/2024/08/15/finding-ai-generated-faces-in-the-wild/</id>
   <summary type="text">Evaluating synthetic-face detection across GAN and diffusion engines, including held-out generators and reduced image quality.</summary>
 </entry>
 
 
 
 
 <entry>
   <title>Detecting AI-Generated Profile Photos</title>
   <link href="https://jverbus.github.io/2023/06/20/detecting-ai-generated-profile-photos/"/>
   <updated>2026-09-06T00:00:00+00:00</updated>
   <id>https://jverbus.github.io/2023/06/20/detecting-ai-generated-profile-photos/</id>
   <summary type="text">Detecting StyleGAN-generated profile photos with compact embeddings, and the limits of that approach.</summary>
 </entry>
 
 
 
 
 <entry>
   <title>Using deep learning to detect abusive sequences of member activity</title>
   <link href="https://jverbus.github.io/2021/09/02/using-deep-learning-to-detect-abusive-sequences-of-member-activity/"/>
   <updated>2026-09-06T00:00:00+00:00</updated>
   <id>https://jverbus.github.io/2021/09/02/using-deep-learning-to-detect-abusive-sequences-of-member-activity/</id>
   <summary type="text">Detecting logged-in profile scrapers from the order and timing of their requests.</summary>
 </entry>
 
 
 
 
 <entry>
   <title>Open Source: Spark/Scala Isolation Forest Library</title>
   <link href="https://jverbus.github.io/2019/08/13/open-source-isolation-forest-spark-scala/"/>
   <updated>2026-09-06T00:00:00+00:00</updated>
   <id>https://jverbus.github.io/2019/08/13/open-source-isolation-forest-spark-scala/</id>
   <summary type="text">Why we built a distributed Isolation Forest implementation for detecting unusual account activity at LinkedIn.</summary>
 </entry>
 
 
 
 
 <entry>
   <title>Detection of unusual travel patterns to prevent user account compromise</title>
   <link href="https://jverbus.github.io/2016/10/07/insight-castle-compromised-account-detection/"/>
   <updated>2026-04-28T00:00:00+00:00</updated>
   <id>https://jverbus.github.io/2016/10/07/insight-castle-compromised-account-detection/</id>
   <summary type="text">Insight Data Science consulting project using unsupervised anomaly detection to flag unusual travel patterns and possible account compromise.</summary>
 </entry>
 
 
 
 
 <entry>
   <title>Calibrating the LUX Dark Matter Experiment</title>
   <link href="https://jverbus.github.io/2016/08/18/calibrating-the-lux-dark-matter-experiment/"/>
   <updated>2026-09-06T00:00:00+00:00</updated>
   <id>https://jverbus.github.io/2016/08/18/calibrating-the-lux-dark-matter-experiment/</id>
   <summary type="text">Measuring the charge and light response of liquid xenon to low-energy nuclear recoils using D-D neutron scattering in LUX.</summary>
 </entry>
 

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