Scholar
Jason Lucas
Google Scholar ID: XU1WN6YAAAAJ
Pennslyvania State University
Citations & Impact
Citations
199
H-index
5
i10-index
3
Publications
10
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- Published 6 top-tier papers (190+ citations) in venues including ACL, EMNLP, IEEE, and NAACL. NSF LinDiv Fellow, with $9K funding for interdisciplinary AI research. Developed end-to-end AI pipelines using PyTorch, HuggingFace, and cloud APIs.
Research Experience
- Graduate Assistant: Penn State University, August 2021 – Present, leading ML/NLP research combating harmful content across 70+ languages, published 6 top-tier papers (180+ citations), mentoring 5+ interns and managing 3 computing courses (150+ students). DSSI Graduate Research Intern: Lawrence Livermore National Lab, May 2025 – August 2025, focusing on NLP, LLM, LRM, MLLM development and optimization, safe AI and reasoning systems research, mixture-of-agents architectures, and multilingual AI system development. NLP Research Intern: Interaction LLC, May 2024 – August 2024, remote, working on NLP and Intelligent Virtual Assistant (IVA) development, large language model optimization and prompt engineering. Cybersecurity Consultant Intern: Coalfire, May 2023 – August 2023, remote, responsible for AI applications in cybersecurity threat detection, security compliance, etc.
Education
- Ph.D. in Informatics, 2025 (Expected), The Pennsylvania State University; MPH con. in Epidemiology, 2020, St. George's University; M.Sc in Computer Information Systems con. Health Informatics, 2014, Boston University; B.Sc in Information Technology, 2010, St. George's University.
Background
- Research Interests: Low-Resource Multilingual NLP, Large Language Models (LLMs), Safe AI & Adversarial ML, Generative AI, Agentic AI & RAG, Classification & Generation, Transfer Learning & Model Adaptation, Prompt Engineering & Context Learning, DeepFake, Jailbreaking & Hallucination, Multilingual Obfuscation & Attribution, Multilingual Scientific Reasoning. Professional Field: Information Integrity, Safe and Ethical AI, particularly in combating harmful content across multiple languages and modalities. Background: A fifth-year Ph.D. candidate in Informatics at the College of IST, Penn State University, conducting research under the guidance of Dr. Dongwon Lee. Focused on bridging the digital language divide through transfer learning, classification (NLU), generation (NLG), adversarial attacks, etc.
Miscellany
- Personal Interests: Dance, fitness, martial arts, and community service.
