Professional Service

This page collects conference, journal, and community service activities across reviewing, panel participation, and related academic service.

Organizing, Program Committee, and Community Leadership

ICLR 2025 Workshop on Bidirectional Human-AI Alignment: Organizer and Program Committee Member for the ICLR workshop page and project page.
CHI 2025 SIG on Bidirectional Human-AI Alignment: Emerging Challenges and Opportunities: Organizer for the CHI program page, the related Berkeley publication page, and the ACM entry.
Across the ICLR 2025 workshop and CHI 2025 SIG, helped coordinate 200+ paper submissions, invited esteemed speakers, and collaboration across reviewers, authors, cross-functional committee members, and area chairs.
CIKM 2024 Tutorial on Agentic Systems: Organized and delivered the tutorial Frontiers of Large Language Model-Based Agentic Systems - Construction, Efficacy and Safety, with the ACM CIKM 2024 tutorial entry here.

Reasoning vs. General Purpose Large AI Models: How do we evaluate for quality and safety? AI Community Conference, Boston (2025)
RAG: Diagnosing Hallucinations & Tracing Model Memory in AI Systems, Ideas in Action, Massachusetts Institute of Technology (2025)
Evaluation Challenges for Large Language Models, Reflections Projections, University of Illinois Urbana-Champaign (2024)
AI Executive Education Panelist and Course Contributor, Massachusetts Institute of Technology (2024)
Responsible AI, Voices of Data Science, University of Massachusetts Amherst (2024)
NLP/Generative AI series: Ethical Considerations to Deploy Responsible AI Guardrails in LLMs, Bogazici University, Turkey (2024, YouTube link to be released soon)
Evaluating LLMs: Where Are We and What’s Next? Manning College of Sciences, University of Massachusetts Amherst (2023)
EMNLP Poster Presentation: “On Surgical Fine-Tuning in Language Models” (2023)
Women in Data Science Panel: “Climate Justice using AI,” Massachusetts Institute of Technology, CSAIL (2023)
Women in ML & Data Science Bay Area: “Use of Contextual Bandits for Online Products” (2022)
Guest Lecturer (Deep Reinforcement Learning), School of Computer Science, Carnegie Mellon University (2022)

Reviewer, AAAI 2023
Reviewer, AACL 2022
Reviewer, ICLR 2023
Reviewer, AISTATS 2023
Reviewer, NeurIPS 2022
Reviewer, ICCV 2022
Lead Reviewer, NLP + Reinforcement Learning Track, Microsoft Machine Learning, AI and Data Science Conference, Fall 2022
Reviewer, Microsoft Machine Learning, AI, and Data Science Journal, 2022

Area Chair activities will be added here as this section is expanded.