New Mexico State University

Sanuj Kumar.

Ph.D. Researcher · Computer Science
Natural Language Processing & Text Mining

I develop methods that help us find relevant information in large text collections and summarize it while preserving its meaning.

My research connects focused analysis, topic modeling, and unsupervised multi-document summarization, with applications in public-health communication.

Focused analysisRepresentation learningAbstractive summarizationTrustworthy NLP
01 / Research

What I work on

Methods for exploring, organizing, and synthesizing text around the information that matters to a user.

Focused representations
& topic discovery

FoTo connects targeted topic modeling with document visualization. My work on fSNE explores how to preserve local structure around selected points of interest.

FoTo · fSNE · Topic modeling

Meaning-preserving
summarization

I investigate unsupervised abstractive summarization across multiple documents and reviews, with an emphasis on preserving meaning, capturing consensus, and retaining query-relevant topics.

Ongoing doctoral research

Reliable NLP for
public-health messaging

With an interdisciplinary team, I develop human-in-the-loop methods to analyze public-health messages and distinguish contradictions, legitimate updates, and contextual differences.

NSF-funded PHMCS project
02 / Selected writing

Publications & preprints

All publications on Google Scholar ↗
2020–present

Research Assistant

New Mexico State University

NLP and text mining research spanning focused analysis, topic modeling, summarization, and interdisciplinary public-health communication.

2025–present

AI Research Fellow

Handshake AI

Evaluation and analysis of AI model reliability, reasoning, and failure modes.

2025–present

Instructor & AI Integration Reviewer

zyBooks · A Wiley Brand

Review of AI-enhanced computer science learning materials for technical accuracy and effective instruction.

May–July 2025

AI/ML Trainer · Break Through Tech AI

Cornell University / Cornell Tech

Applied AI and machine learning instruction, hands-on activities, and support for learners building technical skills.

Summer 2024

Java Programming Instructor

CS 152/452 · New Mexico State University

Additional teaching experience includes support for Python, data structures, database systems, and introductory computer science.

Education

Ph.D. in Computer Science
New Mexico State University · In progress
M.S. in Computer Science
New Mexico State University · 2021
04 / Research in conversation

Selected presentations

October 29, 2025 · Stanford, California

FoTo at Stanford University

Poster presentation of FoTo: Targeted Visual Topic Modeling for Focused Analysis of Short Texts at the Center for Decoding the Universe Quarterly Forum, Stanford Data Science.

June 4–5, 2026 · Rochester, Minnesota

Public-health messaging at Mayo Clinic

Poster presentation of Human-in-the-Loop Agentic Auditing of COVID-19 Public-Health Messaging: Detecting Contradictions, Updates, and Differences at the Mayo Clinic AI Research Summit.

05 / Beyond research

Mentoring & community

Undergraduate research

REU & student mentoring

Supported undergraduate researchers with research computing, programming, experimental workflows, and the path from an idea to a research paper.

Graduate student leadership

Graduate Student Council

Served as Vice President of Activities, helping organize research events and opportunities for graduate students to share their work.

Student community

Indian Students Association

Former president and subsequent advisor, supporting cultural programming, student connections, and a welcoming community at NMSU.

Latest research · Preprint

Auditing public-health communication

Our latest manuscript on human-in-the-loop NLP for longitudinal analysis of evolving public-health communication.

August 2026 · JMIR Preprints

Auditing Evolving Public Health Communication with Human-in-the-Loop AI: Development and Validation of a Longitudinal Natural Language Processing Framework

Sanuj Kumar, Sumanth Reddy Nandhikonda, Heather Harper, Jagdish Khubchandani, and Marshall A. Taylor

Our Public Health Message Consistency System (PHMCS) combines NLP and human review to identify potentially inconsistent messages in evolving public-health communication.

Status: Submitted to JMIR Infodemiology; publicly available through JMIR Preprints.

Academic CV

Complete publication history, appointments, teaching, and service.

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Get in touch

Let's talk research.

For research collaborations, academic opportunities, or conversations about NLP and focused analysis.