Research Fellow @ SPAR · NLP PhD Student @ UMBC CS · 1× Research Intern @ LLNL · Advancing Trustworthy Post-Training
NLP PhD student in Computer Science at the University of Maryland, Baltimore County (UMBC), working on post-training for LLMs and multimodal models, especially agentic and multi-agent reasoning, controllable adaptation, and trustworthy evaluation. Current work includes:
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Reasoning and verification: agentic retrieve-verify workflows for scientific claims, human-AI scientific ideation (Beyond Better Ideas), and collusion in multi-agent systems
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Evaluation and AI safety: multicultural benchmarks (Pluralis, CulturalRiddles), jailbreak robustness, and agentic dataset documentation (CroissantMiner, NeurIPS 2026; Croissant Baker, NeurIPS 2026)
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Private and controllable adaptation: federated fine-tuning with differential privacy (FedMentor, FedMentalCare) and multimodal unlearning (Survey, ACL 2026)
🤝 Open to collaborations on agentic reasoning, post-training, and LLM evaluation — and to mentoring undergrad and grad students new to research. Email me anytime.
Languages & Frameworks
Machine Learning / Deep Learning
Libraries & Tools
Distributed / Cloud / Systems
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