Uncovering Hidden Patterns in ADHD: A Data-Driven Analysis of Unusual Behavioral Traits
This project leverages the National Survey of Children's Health (NSCH) 2023-2024 dataset to uncover distinctive and unusual behavioral patterns associated with …
Projects, tools, and pipelines from my research - built to probe, analyze, and secure large language models.
This project leverages the National Survey of Children's Health (NSCH) 2023-2024 dataset to uncover distinctive and unusual behavioral patterns associated with …
Analyzed 1M+ college applications to identify minimum requirements for full-ride scholarships. Engineered a weighted composite scoring system revealing the top 1% need SAT>1450, …
A high-precision, multi-criteria trading indicator built with Pine Script v6 for TradingView, evaluating 65 real-time market criteria across 16 analytical categories to deliver …
An AI-powered internet connectivity survival system engineered to maintain reliable international access under extreme censorship. Employs a 7-layer architecture with 10,000+ …
A comprehensive Python-based toolkit combining multi-source config scanning (50+ sources), DNS health analysis (1000+ servers), OSINT breach detection (12+ databases), and …
A data-driven computational study of the gap between romantic interest and actual approach behaviour among 1,000 young adults in Mashhad, Iran, based on a self-collected 30-item …
A 68-dimensional computational social science framework revealing hidden personality traits, mental health indicators, and relationship dynamics from 10 million real-world chat …