Research & Analysis
Papers & analyses
First-author research in ML, computational biology, quantitative finance, and computational economics
Fiscal Stabilisers, Minsky Dynamics, and Distributional Outcomes in a Keynesian ABM
Computational Economics · Agent-Based Modelling
Keynesian ABM, zero lower bound, Minsky dynamics, fiscal policy, Rust, Monte Carlo
Daily-frequency, 10,000-agent closed-economy ABM reproducing four stylised macroeconomic facts. Novel result: ZLB binds in 93.7% of simulation periods (MC median), mirroring post-1998 Japan and post-2013 Euro-area — with bimodal distribution driven by TFP-variance threshold effects.
Individual Optimality and Collective Failure in a Keynesian Agent-Based Model
Computational Economics · Coordination Failure
coordination failure, grid search, survivability optimisation, decentralised equilibrium, Keynesian ABM
Grid search identifies survival-maximising strategies for households, firms, and banks. The all-best economy — all types simultaneously following individually-optimal rules — produces GDP growth −65%, firm bankruptcies 17× higher, and negative mean firm profit: a structural coordination failure attractor.
SOM-TSK: Topology-Seeded Clustering Framework
Machine Learning · Clustering
self-organizing maps, K-means, Calinski-Harabasz, Rust
A clustering framework exploiting SOM topology to seed deterministic K-means: three novel seeding strategies, DenSOM density clustering, and AutoSOM k-selection — 6 wins, 0 losses vs KMeans++ across 24 benchmark datasets.
GRASP: Graph-Routed Adaptive Spectral Partitioning
Machine Learning · Clustering
spectral clustering, GNG, Nyström, oracle routing, parameter-free
Autonomous topology-aware clustering pipeline: GNG topology → normalised spectral gap → oracle routing to 6 specialist algorithms. Parameter-free, processes 50K points in 140ms, ARI 0.378 on interlocking rings vs DBSCAN’s 0.055.
Dual-Encoder vs Cross-Encoder for GRN Links
Computational Biology · IEEE TNNLS
deep learning, GRN inference, encoder architecture
Parameter-matched comparison (5.58M params) of dual-encoder and cross-encoder architectures across four imbalance regimes, ablation, pruning, and cold-start evaluation — submitted to IEEE TNNLS.
Modular vs Monolithic GRN Architectures
Computational Biology · Research
cross-encoder, gradient failure, AUROC
Diagnosed three critical gradient failures in two-tower GRN models, then compared corrected modular and monolithic cross-encoders — cross-encoder achieves AUROC 0.904 vs 0.810, with far greater imbalance robustness.
Two-Tower Networks for GRN Inference
Computational Biology · scRNA-seq
two-tower MLP, scRNA-seq, Rust
Pure-Rust two-tower MLP learning entity embeddings and cell-type expression profiles to predict TF–gene interactions — 83.06% ensemble accuracy, CPU-trainable, no deep learning framework.
Deep Learning for Circular RNA
Computational Biology · Published
circRNA, ANN, disease classification
Published ANN pipeline classifying circRNA-disease associations with Gaussian blur preprocessing — 75% accuracy at 0.14ms per prediction.
Functional Group Analysis
Cheminformatics · Research
GAT-VGAE, SOM, drug-likeness
GAT-VGAE + SOM pipeline analysing 249,455 ZINC15 molecules with counterfactual QED decomposition — mapping functional group enrichment across drug-like chemical space in Rust.
GDP Trajectory Clustering
Economics · Analysis
unsupervised clustering, macroeconomics, k-means
Unsupervised clustering of 190 countries over 45 years reveals four distinct economic paths — from stagnation to exponential growth.
Crypto vs Stock Timing
Finance · Analysis
Bitcoin, cross-correlation, Granger causality
Do crypto markets lead or lag equities around recessions? Cross-correlation and Granger causality analysis across five business cycles.
Cancer Leading Mutation DNA of P-53 Gene
Computational Biology · Award-Winning Research
P-53, genetic algorithms, tumor suppressor, cancer genomics, mutation analysis
Closed-loop genetic algorithms surface the earliest mutation signatures that destabilise P-53 — the “guardian of the genome” — before malignant cascades take hold. Best Research Project, UBC Vantage College.
Bitcoin Portfolio Allocation
Finance · Analysis
risk budgeting, BTC sizing, portfolio optimization
Optimal BTC sizing via Risk-Budget Framework. Component Risk Contribution analysis across five portfolio profiles finds 10–12% is the evidence-based ceiling.