Attri Ghosh

ASAREE: An Analytical Sandbox for Agentic AI Research, Engineering, and Experimentation

ASAREE evaluates agentic AI system performance and resource efficiency through factorial experiments, showing that advanced models and critic agents increase costs without improving predictive performance.

Beyond P-values: A Multi-Metric Framework for Robust Feature Selection and Predictive Modeling

The paper introduces MIXER, a framework that combines multiple metrics for feature selection and predictive modeling, outperforming individual criteria in Alzheimer's disease analysis.

Computational Framework for Statistical Epistasis Supports XOR Penetrance Function in a Living System

The paper introduces efficient algorithms for detecting statistical epistasis using varied interaction encodings and applies them to rat and mouse datasets to find evidence of epistasis in body mass index.

Automated quantitative trait locus analysis (AutoQTL)

AutoQTL automates QTL analysis and GWAS by applying machine learning to detect both additive and non-additive genetic effects in genetic data.