James Verbus
AI and physics
I have ten years of experience in machine learning and AI, including building models to detect bots and abusive automation. I also developed the open-source Spark/Scala isolation-forest library.
Before that, I earned my Ph.D. in physics at Brown, working on calibration of the LUX dark matter detector.
Selected work
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Isolation forest for Spark/Scala
Distributed unsupervised machine learning for anomaly detection with Isolation Forest and Extended Isolation Forest.
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Finding AI-generated faces in the wild
Evaluating deep learning models for detecting AI-generated faces across GAN and diffusion engines, including generators withheld from training.
CVPR Workshop on Media Forensics
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Deep learning for abusive activity sequences
Using deep learning and learned request embeddings to detect low-volume scrapers from activity sequences and timing.
LinkedIn Engineering
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Calibrating the LUX dark matter experiment
Measuring the charge and light response of liquid xenon to low-energy nuclear recoils using D-D neutron scattering in LUX.
Brown University · LUX