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Writing

I write two kinds of things. The technical posts here are mostly problems I hit at work and could not find written down. The essays and poems go on my Substack, An Anxious Nomad Collective.

On this site

Technical posts, newest first.

Writing2026

Will I Hit My Target? A Monte Carlo Planner with ML Inputs

I built a portfolio planner that feeds four machine-learning models into one Monte Carlo wealth simulation, then asks a concrete question. Given a target and a contribution, what are the odds, and how much more would move them? On the synthetic dataset the median lands just short, and the interesting part is what the simulation is made of.

Machine LearningMonte CarloQuantitative FinancePythonREAD MORE →
Writing2026

The QSVM Coin Flip Was an Encoding Artifact: Quantum Kernels on Synthetic ICU Data

In July I blamed chance-level quantum SVM scores on the experiment's small size. A later ablation traced them to an unscaled angle encoding: rescaled on the same 200 rows, the QSVMs reach 0.70 to 0.80 ROC-AUC, and a post-hoc RBF SVM tuned the same way scores 0.810, above each on point estimate. All numbers are from synthetic data.

Quantum Machine LearningBenchmarkingReproducibilityCorrectionREAD MORE →
Writing2026

Raising an Alien in Simulation: Building a Robot's Brain Without the Robot

In July 2026 I built and tested Rocky's software brain in simulation, with no robot, no GPU and no local LLM in the loop, by putting every external dependency behind a Protocol with a Fake. Rocky has since been tested on the physical Reachy Mini and works; this corrected essay keeps the sim-first argument and records what changed.

Embodied AIConcurrencyLocal LLMRoboticsREAD MORE →
Writing2026

FHIR for AI/ML engineers

A field guide to the healthcare data standard for engineers meeting it for the first time: what it solves, and where it leaves the hard part to you.

HealthcareFHIRData EngineeringREAD MORE →
Writing2026

From Physics PDEs to PyTorch: What Experimental Physics Taught Me About Debugging ML

A physics undergrad spends a year staring at noisy oscilloscope traces and mis-zeroed polarizers. Years later, the same habits keep ML models honest. Characterize the instrument, plot the residuals, check the dimensions, flip the magnet.

Machine LearningPhysicsDebuggingEngineering PracticeREAD MORE →
Writing2025

Dismantled by Design: The Truth Behind Modern Book Censorship

Investigative analysis of coordinated book banning campaigns, debunking myths with ALA data and PEN America reports.

InvestigativeCivil LibertiesData JournalismREAD MORE →
Writing2025

Debunking Denialism About Canada's Sixties Scoop Policy

Historical analysis confronting revisionist narratives about the systematic removal of Indigenous children in Canada.

HistoryIndigenous RightsPolicyREAD MORE →

On the Substack

The latest from An Anxious Nomad Collective. Free to read.

All posts on Substack ↗Fetched 17 Oct 2026

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