Isabelle Ng

Computer Science — Boston University

Isabelle is a first-year PhD student in Computer Science at Boston University, advised by Professor Eshed Ohn-Bar. Before BU, she graduated from the University of California, Berkeley, where she received Bachelor's degrees in Computer Science, Data Science, and Music. Her main research interests include LLMs, multimodal models, and computer vision.

Besides research, she enjoys running and is training for 2 half marathons coming up. She also enjoys swimming, traveling, creating music, and singing in choirs.

Publications & Preprints

2025

MultiGA: Leveraging Multi-Source Seeding in Genetic Algorithms

Isabelle Diana May-Xin Ng, Tharindu Cyril Weerasooriya, Haitao Zhu, Wei Wei • NeurIPS 2025 Efficient Reasoning Workshop

2025

ProRefine: Inference-Time Prompt Refinement with Textual Feedback

Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Parag Shah, Isabelle Diana May-Xin Ng, Christopher M. Homan, Wei Wei • NeurIPS 2025 Efficient Reasoning Workshop, 2026 AAAI Student Abstract

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Notable Experience

GenAI Research Engineering Intern

Accenture, Center for Advanced AI · Mountain View, CA · Jun 2025 – Aug 2025

  • Led research and development of MultiGA, a novel evolutionary prompting framework for multi-LLM collaboration on reasoning tasks such as text-to-SQL and trip planning.
  • Developed an experimental pipeline enabling automated agentic experiments with remote metric collection and evaluation.

NLP Student Researcher

UC Berkeley School of Information · Berkeley, CA · Jan 2025 – May 2025

  • Analyzed 1,500 legal cases using LLMs to study judicial reasoning around Section 230, advised by Dr. Emma Lurie.
  • Identified interpretive patterns with implications for legislative reform; project recognized with Best Poster at UC Berkeley's Research Symposium.
  • See Berkeley I School news coverage here.

Machine Learning Engineering Intern

H2O.ai · Mountain View, CA · Jun 2024 – Aug 2024

  • Built a Retrieval-Augmented Generation (RAG) chatbot to assist employees with technical queries about H2O.ai products.
  • Integrated Python APIs for H2O Wave and H2O GPT Enterprise, engineering a query controller that routes questions by product type.
  • Improved internal knowledge discovery and documentation accessibility across teams.

Data Engineering Consultant

Mattel · Remote · Sep 2024 – Jan 2025

  • Assessed Mattel's enterprise data ecosystem and designed a scalable ESG data pipeline supporting sustainability initiatives.
  • Conducted stakeholder interviews and identified infrastructure discrepancies across divisions.
  • Developed recommendations to centralize analytics workflows in Google BigQuery and improve governance and access protocols.

Teaching

I have served as a teaching assistant and course leader for Berkeley’s core computer science and data science curricula, with responsibilities spanning lecture development, infrastructure, and pedagogy design.

Term Course Role
Spring 2026 Data C88C — Computational Structures in Data Science uGSI (Head Teaching Assistant, 20 hrs/week)
Fall 2025 Data C88C — Computational Structures in Data Science [Guest Lecture on Efficiency] [Trees] uGSI (Head Teaching Assistant, 20 hrs/week)
Spring 2025 Data C88C — Computational Structures in Data Science uGSI (Lead Teaching Assistant, 12 hrs/week)
Fall 2024 Data C88C — Computational Structures in Data Science uGSI (Teaching Assistant, 8 hrs/week)
Summer 2024 CS 61A — Structure and Interpretation of Computer Programs uGSI (Teaching Assistant, 20 hrs/week)

Leadership & Service

Contact

Email: isabelle.ng@berkeley.edu

GitHub: isabe11eng · LinkedIn: /in/isabelle-ng-185875262/ · OpenReview: profile

© 2026 Isabelle Ng