Writing
Field notes, case studies, and workshop writeups on detection systems, anomaly detection, sequence modeling, synthetic media, AI productivity, and physics.
2026
Mar 18, 2026
Extended Isolation Forest for Distributed Spark/Scala Anomaly Detection
Extended Isolation Forest support for LinkedIn's open-source Spark/Scala isolation-forest library, including sparse random hyperplane splits, benchmark parity checks, synthetic score maps, and validation evidence. The work also became a useful case study in how to validate AI-assisted production code with evidence rather than trust.
Jan 9, 2026
Reinforcement Learning for Orbital Transfers at the 2026 AI Winter School (Brown University)
Hands-on workshop framing orbital transfer as a controlled two-body dynamics problem: Hohmann benchmark, Gymnasium environment, PPO policies, reward shaping, and diagnostics for chatter and delta-v efficiency.
2025
Feb 10, 2025
Exploring LLMs and RAG at the 2025 AI Winter School (Brown University)
Hands-on workshop on source-grounded LLM workflows for physics: direct-model baselines, vector retrieval over LUX papers and Brown theses, retrieval diagnostics, and API/open-model tradeoffs.
2024
Sep 23, 2024
Announcing ONNX Support in Isolation Forest
LinkedIn's open-source isolation forest library now supports ONNX export, enabling deployment beyond Spark for streaming and edge inference applications.
Aug 15, 2024
Finding AI-Generated Faces in the Wild
Detecting GAN- and diffusion-generated faces in the wild: one classifier across ten synthesis engines, robust to low resolution and heavy compression.
2023
Jun 20, 2023
Detecting AI-Generated Profile Photos
CVPR Workshop research on detecting GAN-generated profile photos from compact embeddings: a lightweight approach to catching synthetic faces at scale.
2021
Sep 2, 2021
Using deep learning to detect abusive sequences of member activity
Production sequence modeling for platform abuse detection at LinkedIn: request-path token streams, timing features, LSTM/CNN scoring, weak-label bootstrapping, and embeddings for coordinated automation.
2019
Aug 13, 2019
Open Source: Spark/Scala Isolation Forest Library
Announcement and resources for LinkedIn's open-source Scala/Spark isolation-forest library for large-scale unsupervised anomaly detection.
2016
Oct 7, 2016
Detection of unusual travel patterns to prevent user account compromise
Insight Data Science consulting project using unsupervised anomaly detection to flag unusual travel patterns and possible account compromise.
Aug 18, 2016
Calibrating the LUX Dark Matter Experiment
Ph.D. thesis work: an absolute, in situ calibration of low-energy nuclear recoils in LUX, using D-D neutron scattering kinematics to measure liquid xenon charge and light yields near threshold.