Research archive
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
4
Projects currently being extended or validated.
Completed
2
Finished research work kept online for reference.
Focus areas
28
Distinct themes spanning theory, data, and tooling.
Current focus
XGBoost Signal Confidence Filter for Algorithmic Trading
An XGBoost classifier trained on 3,033 historical signal outcomes that doubles win rate in a live crypto trading system — from 24% to ~50% — by scoring each signal's confidence before execution. Deployed in dry-run with three parallel strategies and a delta-neutral carry layer.
Why it stands out
The active work now mixes scientific validation with implementation detail, which gives the portfolio a stronger “research in motion” signal than a static archive alone.
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Current investigation
XGBoost Signal Confidence Filter for Algorithmic Trading
An XGBoost classifier trained on 3,033 historical signal outcomes that doubles win rate in a live crypto trading system — from 24% to ~50% — by scoring each signal's confidence before execution. Deployed in dry-run with three parallel strategies and a delta-neutral carry layer.
Current investigation
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.