EMNLP 2026 Workshop
2026GroundLMGrounding Language Models
Area Chair.
Academic Service & Peer Review
Undergraduate ML researcher at the University of Maryland reviewing for NeurIPS, ICML, EMNLP, COLM, and AIES (AAAI/ACM).
Selected roles across peer-reviewed conferences and workshops. Full review records are available on request.
GroundLMGrounding Language Models
Area Chair.
Program Committee (AAAI/ACM) evaluating papers on AI ethics, safety, and societal impact.
Ethics Reviewer for the NeurIPS 2026 Main Track and Evaluations & Datasets Track.
NewInMLNew Frontiers in Machine Learning
MATH-AIMathematical Reasoning and AI
AIWILDAgents in the Wild: Safety, Security, and Beyond
SCALEScalable Learning and Optimization for Efficient Multimodal AI Agents
Efficient Reasoning
Social SimSocial Simulation with LLMs
REALMReliable & Explainable Language Models
Efficient Reasoning
ML4PSMachine Learning for Physical Sciences
Accepted work and the active research pipeline — transparently labeled for verification.
Bidirectional Affective Synchrony in Parent-Child Conversations Using Machine Learning
Developmental Psychobiology 67(S1), e70105 · First author
A Machine-Learning Approach to Gaze Coding in Mobile Eye-Tracking
APA Convention (Division 07 — Developmental Psychology)
METMAP: A Machine-Learning Approach for Mobile Eye-Tracking Gaze Coding
ISDP 2026 — 59th Annual Meeting (International Society for Developmental Psychobiology) · Oral presentation · Paper O3.6 · 11:50–12:00
ISDP Top 50 Abstracts Travel Award
International Society for Developmental Psychobiology · Highly selective, merit-based travel grant for top abstracts worldwide.
Visual Artifact Separability in Self-Supervised Representations
ACCV 2026 · First author
From Personas to Simulated Users: A Fitness-for-Purpose Survey
AAAI 2027 — AI for Social Impact Special Track · Co-author · 41-author collaborative survey
Before You Scale: The Cost of Supervision Mismatch in PRM Distillation
COLM 2026 — Efficient Reasoning Workshop · First author
METMAP: Mobile Eye-Tracking Processing Pipeline
Behavior Research Methods
Additional evaluation and editorial service beyond peer review.
State & Regional Judge — evaluated student AI applications and technical architectures under the US AI literacy and development initiative.
Selected by AWS to review AI research abstracts submitted by faculty from universities across the country — Spring 2026 edition, Tuskegee University (AL).
Expert panelist auditing software architecture and model quality at Anthropic × Maryland, HackGT, HackTX, TartanHacks, Bitcamp, HackDuke, and Hacklytics.
Judge evaluating student COVID-19 research papers against the NSF-funded CIC research ecosystem criteria.
AI research mentor guiding 8 students through independent ML research, experimental design, and reproducibility.
Roles are verifiable via my OpenReview profile and Google Scholar. Further verification available on request.