Jason Lucas ☕️

Jason Lucas

Ph.D. Candidate · Incoming Assistant Professor & Director, Secure and Ethical AI Lab (SEAL) — CU Boulder (Aug 2026)

Penn State University

Incoming — CU Boulder · Information Science · CMDI (Aug 2026)

Professional Summary

I am a PhD candidate in Informatics in the College of IST at Penn State University, where I conduct research at the PIKE Research Lab under the guidance of Dr. Dongwon Lee. Starting August 2026, I will join the Department of Information Science at the College of Media, Communication and Information (CMDI), University of Colorado Boulder, as a Tenure-Track Assistant Professor and founding Director of the Secure and Ethical AI Lab (SEAL). My research advances trustworthy and equitable AI for the world’s languages and communities — spanning multilingual NLP, low-resource and dialectal language technology, AI safety, and information integrity, with work extending across 70+ languages. I have authored 14+ peer-reviewed papers with 315+ citations in premier venues including ACL, EMNLP, NAACL, ICML, and IEEE.

My doctoral research focuses on bridging the digital language divide through transfer learning, classification (NLU), generation (NLG), adversarial attacks, and developing end-to-end AI pipelines using RAG and Agentic AI workflows for combating multilingual threats. Drawing from my Grenadian background and knowledge of local Creole languages, I bring a global perspective to AI challenges, working to democratize state-of-the-art AI capabilities for underserved linguistic communities worldwide. My mission is to develop robust multilingual multimodal systems and mitigate evolving security vulnerabilities while enhancing access to human language technology through cutting-edge solutions.

As an NSF LinDiv Fellow, I conduct transdisciplinary research advancing human-AI language interaction for social good. I actively mentor 5+ research interns and teach Applied Generative AI courses. Through industry experience at Lawrence Livermore National Lab, Interaction LLC, and Coalfire, I bridge academic research with practical applications in combating evolving security threats and enhancing global AI accessibility. I see multilingual advances and interdisciplinary collaboration as a competitive advantage, not a communication challenge. Beyond research, I stay active through dance, fitness, martial arts, and community service.

Education

M.P.H., Concentration in Epidemiology

St. George's University

M.Sc. in Computer Information Systems, Concentration in Health Informatics

Boston University

B.Sc. in Information Technology

St. George's University

Interests

Multilingual NLP & Low-Resource AI Trustworthy AI & Information Integrity AI Safety & Robustness Ethical, Equitable & Human-Centered AI Dialect-Aware Safety Guardrails Adversarial ML & Jailbreaking Large Language Models (LLMs) Generative AI, Agentic AI & RAG Caribbean & Diaspora Language Technologies Disinformation Detection

Experience

Senior Researcher, JSALT 2026 Workshop

Johns Hopkins University · Center for Language and Speech Processing

Selected for the invitation-only 12th Frederick Jelinek Memorial Workshop. Leading research on uncertainty-aware LLM-based health coaching agents with human oversight for sustainable behavior change.

Doctoral Researcher · Amazon Nova AI Challenge (Team Lion-0xA)

Penn State × Amazon

One of 10 global finalist teams from hundreds of applicants worldwide ($250K team sponsorship). Red-team researcher probing agentic AI systems for adversarial vulnerabilities in multi-step software-engineering tasks.

Graduate Research Assistant · PIKE Lab

Penn State University · College of IST

Responsibilities include:

  • Lead multilingual NLP research spanning 70+ languages on disinformation detection, harmful-content classification, and AI safety guardrails
  • Authored 14+ peer-reviewed papers (315+ citations) in ACL, EMNLP, NAACL, ICML, IEEE
  • Built methods for dialectal evasion attacks and defenses against safety-aligned LLMs (DIA-HARM, DIA-Guard, SHIELD, BLUFF benchmarks)
  • Co-authored 3 NSF and NIH grant proposals; mentored 8+ research mentees
  • NSF NRT LinDiv Fellow (2022–2024)

DSSI Graduate Research Intern

Lawrence Livermore National Lab

Focus Areas:

  • NLP, LLM, LRM, MLLM development and optimization
  • Safe AI and reasoning systems research
  • Mixture-of-Agents architectures
  • Multilingual AI system development

NLP Research Intern

Interaction LLC

Research & Development:

  • NLP and Intelligent Virtual Assistant (IVA) development
  • Large Language Model optimization and prompt engineering
  • Conversational AI and dialogue summarization systems
  • Advanced LLM integration for customer interaction platforms

Cybersecurity Consultant Intern

Coalfire

Security & Compliance:

  • AI applications for cybersecurity threat detection
  • Security compliance and standards implementation
  • Security Operations Center (SOC) operations
  • Payment Card Industry (PCI) compliance frameworks

Faculty - Instructor, Head of Division & Technical Lead

St. George's University

Leadership & Education:

  • Led 6-person team supporting 4000+ medical students
  • Achieved 99% uptime on SimCapture/Examsoft platforms
  • Pioneered virtual OSCE system during COVID-19, trained 100+ faculty
  • Taught IT, Medical, and Public Health Informatics courses

Information Technology Instructor

Government of Grenada

Managed IT infrastructure for 500+ students; achieved 95% pass rate in CSEC IT examinations; implemented digital literacy program reaching 300+ students.
Skills & Hobbies
AI/ML
Natural Language Processing
Large Language Models
Deep Learning
Adversarial ML
Programming
Python
PyTorch
SQL
R
Data Science
Data Visualization
Feature Engineering
Web Scraping
Predictive Analytics
Database & Analytics
Oracle
MSSQL
SAS
EpiInfo
GeoDa
Transferable Skills
Scientific Writing
Grant Writing
Project Management
Technical Training
Hobbies
Dancing
Martial Arts
Fitness
Mentorship
Platforms & Tools
HuggingFace
VSCode
Google Colab
GitHub
Google Cloud Platform
Azure
vLLM
AdapterHub
Service & Leadership

View all service roles →

Area Chair — ACL 2026 featured image

Area Chair — ACL 2026

Area Chair (OpenReview) for the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), San Diego, California.

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Jason Lucas
Program Committee Member — LoResLM 2026 Workshop (EACL) featured image

Program Committee Member — LoResLM 2026 Workshop (EACL)

Program Committee Member for LoResLM 2026, the Workshop on Low-Resource Languages and Multilingual NLP, co-located with EACL in Rabat, Morocco.

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Jason Lucas
Organizing Committee Member — 12th MASC-SLL featured image

Organizing Committee Member — 12th MASC-SLL

Organizing Committee Member for the 12th Mid-Atlantic Student Colloquium on Speech, Language & Learning (MASC-SLL) at Penn State.

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Jason Lucas
Program Committee Member — DAGGenC Workshop (COLING 2025) featured image

Program Committee Member — DAGGenC Workshop (COLING 2025)

Program Committee Member for the Workshop on Detecting AI Generated Content, co-located with COLING 2025 in Abu Dhabi, UAE.

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Jason Lucas

Looking for more?

View all publications →

Talks & Media Presence
Dagstuhl Seminar 26252 — From Speech Translation to Multilingual Communication featured image

Dagstuhl Seminar 26252 — From Speech Translation to Multilingual Communication

Invitation-only seminar on "From Speech Translation to Multilingual Communication – New Research Challenges" bringing together researchers from speech translation, interpretation …

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Jason Lucas
Ethical Use of AI in Research and Teaching featured image

Ethical Use of AI in Research and Teaching

Invited Lunch & Learn session exploring responsible, transparent, and ethical uses of AI in research and teaching, with emphasis on upholding academic integrity and maintaining …

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Jason Lucas
Beemo - Benchmark of Expert-edited Machine-generated Outputs featured image

Beemo - Benchmark of Expert-edited Machine-generated Outputs

In this talk, we present Beemo, one of the first multi-author benchmarks for machine-generated text (MGT) detection that includes expert-edited responses. Our benchmark comprises …

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Jason Lucas
Penn State connections lead doctoral student to interdisciplinary College of IST featured image

Penn State connections lead doctoral student to interdisciplinary College of IST

Doctoral student Jason Lucas's academic journey from the West Indies to Penn State illustrates the power of mentorship and interdisciplinary thinking. With guidance from Professor …

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Jason Lucas
Leadership Examples in Tech Rarely Look Like Me featured image

Leadership Examples in Tech Rarely Look Like Me

Informatics PhD student Jason Lucas reflects on his journey as a Black man in tech, sharing how his experiences have shaped his commitment to mentoring underrepresented students …

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Jason Lucas
Recent News
Joining CU Boulder as Tenure-Track Assistant Professor featured image

Joining CU Boulder as Tenure-Track Assistant Professor

Honored to share that I will be joining the Department of Information Science at the University of Colorado Boulder as a Tenure-Track Assistant Professor starting August 2026.

Recipient of the IST Ph.D. Award for Research Excellence (2026)

Honored to receive the IST Ph.D. Award for Research Excellence — the highest research honor for post-comprehensive Ph.D. students at the Penn State College of IST.

DIA-HARM Paper Accepted at the 2026 ACL Main Conference featured image

DIA-HARM Paper Accepted at the 2026 ACL Main Conference

ACL'26 Main Conference Paper Accepted. [DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects](https://arxiv.org/abs/2604.05318).

BLUFF Benchmark Featured in Slator featured image

BLUFF Benchmark Featured in Slator

Our BLUFF benchmark for multilingual AI detection is getting attention — Slator covered the work in "New Benchmark Tests AI Detection Across Languages and Translation."

Serving as Area Chair for ACL 2026 featured image

Serving as Area Chair for ACL 2026

Honored to serve as an Area Chair (OpenReview) for the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) in San Diego, California.

Projects
AI Robustness & Adversarial Safety featured image

AI Robustness & Adversarial Safety

Investigating how dialect diversity, authorship obfuscation, and expert-level text editing expose critical vulnerabilities in content detection systems.

Multilingual NLP featured image

Multilingual NLP

Detecting fake news, false claims, and machine-generated text across languages and low-resource settings.

NLP Applications & Reasoning featured image

NLP Applications & Reasoning

Advancing language understanding through in-context learning and graph-based representations across diverse application domains.

Equity, Inclusion & the Digital Language Divide featured image

Equity, Inclusion & the Digital Language Divide

Examining how AI systems disproportionately impact long-tail users and speakers of underserved languages.

Contact

Book an appointment or contact me using the information below.

Email: jsl5710@psu.edu

Phone: 954 864 4494

Address: 123 S Burrowes St, State College, PA 16801, United States

Directions: Enter Building and take the elevator or stairs to the 4th Floor, locate College of IST.

Office Hours: Monday & Wednesday, 09:00–17:00


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