05H₀ vs H₁

Questions, methods, evidence.

One accepted short paper and three research projects in progress. Publication status is stated exactly as supplied—accepted is not the same as published.

Accepted · short paper

ASONAM 2026

LLM stance perception for women’s-safety narratives

Measure how stance varies across large-scale social-media discussion of women’s-safety cases in India. The résumés do not provide the paper’s formal title, author list, DOI, or conference link, so this record does not invent them.

Qwen3.5-9BLoRAMann–Whitney UChi-squareG-testsSLURM

raw records4.3M+

curated351,501

macro-F1.7450

MCC.6634

dataset

4.3M+ raw Reddit and YouTube comments; 351,501 comments retained across 16 cases from 2012–2024.

method

Built the processing pipeline, tested distribution differences with Mann–Whitney U, chi-square, and G-tests, then adapted Qwen3.5-9B with LoRA for multi-class stance classification.

evaluation

0.7447 accuracy · 0.7450 macro-F1 · 0.6634 MCC · 3,000-sample held-out evaluation.

status

High-confidence error analysis identified systematic model failure modes. The resulting short paper was accepted at ASONAM 2026.

R Research in progress

Probabilistic genomics

These projects are described in the newer résumé as nearing completion or in methodological development. No final performance results are claimed.

Nearing completion

BayesV2G

Bayesian Variant-to-Gene Prioritization

Prioritize candidate causal genes for cardiometabolic traits from disease-associated variants.

Estimate posterior variant-to-gene probabilities through uncertainty-aware evidence integration and compare them with nearest-gene and single-evidence baselines.

Full methodology

Nearing completion

CoreGene-Bayes

Probabilistic Core-Gene Discovery

Identify candidate core disease genes by modeling convergence of genetic perturbations across molecular pathways.

Estimate posterior core-gene membership and benchmark Bayesian prioritization against centrality and network-propagation approaches.

Full methodology

Methodological development

NeuroMap-GWAS

Spatial Gene-Expression Mapping

Study where neurological disease-associated genes are expressed across human brain regions.

Design regional-enrichment tests with matched random gene sets and empirical null distributions.

Full methodology

AcceptedPeer-review outcome supplied in the résumé.Nearing completionProject status supplied in the résumé; not a publication claim.