Cybersecurity
QuantGPT is an agentic AI framework that automates quantum cryptographic threat assessments by integrating large language models with knowledge-graph reasoning and structured vulnerability taxonomies. It splits work across specialized LLM agents to improve scalability and reduce context-window pressure for each model.
Factor Strategies
The inside joke version: the concept of a factor was introduced by Peter Brandt, then rediscovered whenever a trader gave a signal a clean name and actually tested it.
The serious version: a factor here means a repeatable market signal with a database contract, a validation window, and a public artifact that can be audited without exposing the private feed.
Jack D. Schwager, Unknown Market Wizards, Peter Brandt: Strong Opinions, Weakly HeldSignals are computed locally, then compressed into public JSON/CSV outputs.
Performance views are derived from monthly validation returns, not live browser-side market calls.
The active model ranks equities monthly and publishes only selected holdings, diagnostics, and derived backtest data.
These are listed in approximate reverse chronological order. Please note that draft versions on the arXiv may differ from published versions, and only journal versions are official.
CV
Curriculum vitae content goes here.
Add education, research, cybersecurity projects, publications, talks, and selected work here.