Research

Systems built from messy text

I like research because it lets me be interdisciplinary. Language, public health, food systems, conflict data, and software can all sit at the same table.

My part is building the systems around that table: pipelines that turn messy text and public data into evidence researchers can inspect.

I like being interdisciplinary. The good questions rarely stay in one lane.

Research Overview

A compressed view of the systems, funding, and model work behind the portfolio.

well

doing academically well at UT Dallas, but too embarrassed to say my GPA here

Computer Science / May 2027

20K

undergraduate research funding awarded for applied AI work

Research Support

agents

multi-agent research workflows for turning messy text into reviewable evidence

Thematic Analysis / LangGraph

nlp

domain-adapted language systems for conflict data, multilingual QA, and classification

ConfliBERT / Spanish / Arabic

[ Papers ]

Under Review

Scientific Reports

Automating Thematic Analysis of COVID-19 Vaccine Hesitancy in Alaska with Multi-Agent LLM Systems

Adib, A. Review, Springer Nature.

Agriculture & Food Security

When Growing Food is No Longer Enough: Indigenous Food Security Study

Adib, A. Review, Springer Nature.

System Ledger