The Chronicles · research
Current investigations and completed research across physics, machine learning, and genomics.
This section tracks active experiments and finished work, with an emphasis on computational methods, interactive tooling, and scientific interpretation.
active now
3
Projects currently being extended or validated.
completed
4
Finished research work kept online for reference.
focus areas
31
Distinct themes spanning theory, data, and tooling.
A hypothesis is a soldier sent ahead into the pass.
Mourn the ones that fall —
they die so the column may turn back.
the chronicles
current focus
Spin: a Live Ising Model You Cool by Scrolling
A two-dimensional Ising model running live in the browser on archaic.ie, the studio's Forge. Hot at the top of the page and cold at the bottom; scroll to cool it and watch domains form. The simulation is the ising-rs engine compiled to WebAssembly; the readout is words and a bar, never a number.
how these are written
Each write-up states the question, the method, and the result — including the experiments that failed. Active work gets updated as evidence lands; finished work says so plainly.
current investigation
Spin: a Live Ising Model You Cool by Scrolling
A two-dimensional Ising model running live in the browser on archaic.ie, the studio's Forge. Hot at the top of the page and cold at the bottom; scroll to cool it and watch domains form. The simulation is the ising-rs engine compiled to WebAssembly; the readout is words and a bar, never a number.
research archive
XGBoost Signal Confidence Filter for Algorithmic Trading
An XGBoost classifier trained on 3,033 historical signal outcomes that doubles win rate in a crypto trading system — from 24% to ~50% — by scoring each signal's confidence before execution. The filter worked; four months of dry-run evidence then killed most of the strategies it was filtering. Post-mortem included.
research archive
Physics-Inspired LLM Optimization: 5 Directions, 9 Experiments
Testing whether structures from physics — thermodynamics, renormalization group, lattice theory, and mean-field dynamics — can guide LLM compression. Five research directions validated on GPT-2 124M: entropy-based quantization (2.6× better than uniform), RG-guided pruning, lattice attention with a phase transition, GPTQ interaction analysis, and metastable cluster verification.
current investigation
Anomaly Detection in SDSS Stellar Spectra
Seven anomaly detectors — from Isolation Forest to a conditional normalizing flow — running on public SDSS DR18 stellar spectra. Includes a physics-motivated PBH candidate screening pipeline, semi-synthetic evaluation harness, and a Streamlit dashboard. Scales to 50K+ spectra.
research archive
Physics-Inspired k-Means Quantization for LLM Weights
26 experiments compressing GPT-2 with physics-motivated k-means codebook quantization. Best result: PPL=84.2 at 0.836 bits per weight — 38× compression vs FP32. Null results triangulate the GPTQ design from first principles.
current investigation
Ising Model Simulation in Rust + WebAssembly
A publication-grade Monte Carlo simulation engine for classical spin models, achieving 0.01% accuracy on the 3D critical temperature. Supports three universality classes, GPU acceleration via CUDA, and finite-size scaling analysis — targeting Physical Review E.
research archive
Genetic Substructure Analysis via PCA
Analysis of genetic substructure across global populations using genome-wide SNPs and principal component analysis on the 1000 Genomes Project dataset.